{"id":2905,"date":"2022-08-29T14:21:19","date_gmt":"2022-08-29T14:21:19","guid":{"rendered":"https:\/\/eccb2022.org\/?page_id=2905"},"modified":"2022-09-08T14:23:26","modified_gmt":"2022-09-08T14:23:26","slug":"poster-presentations","status":"publish","type":"page","link":"https:\/\/eccb2022.org\/poster-presentations\/","title":{"rendered":"Poster presentations"},"content":{"rendered":"\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-a31bb54\" data-block-id=\"a31bb54\"><style>.stk-a31bb54 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">General information for posters<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<ul><li>The&nbsp; two poster sessions scheduled within the ECC2022 programme will take place on Monday, 19 Sept. and Tuesday, 20 Sept., from 17:30h to 19:30h.&nbsp;<\/li><\/ul>\n\n\n\n<ul><li>All posters will be displayed at the room Tramuntana 3 (groundfloor). The presenting authors are required to give their presentation in-person from the conference venue during the session where they have been assigned.<\/li><\/ul>\n\n\n\n<ul><li>Material to fix the posters on the panels will be available in the poster area (double-sided tape).<\/li><\/ul>\n\n\n\n<ul><li>Each poster will be displayed on the day of the poster session only, (either on Monday or Tuesday). The posters should be installed in the morning and removed before 21:00h. Please make sure to take away your poster yourself; leftover posters will be disposed of.<\/li><\/ul>\n\n\n\n<ul><li>The poster boards are adapted to standard A0 poster size \/ portrait (A0 is 84.1 x 118.9cm ; or 33.1 x 46.8 inches). The maximum size of the poster must be 90 cm wide and 120 cm high.&nbsp;<\/li><\/ul>\n\n\n\n<ul><li>The posters must include the title, the name of the authors, the affiliations and a contact address. It is recommended to use a font size of at least 24 points to ensure its legibility. All posters must be written in English.<\/li><\/ul>\n\n\n\n<ul><li>The poster authors are invited to upload the PDF of their poster and share it with the rest of the delegates through the conference APP. Further information will be sent to you by email very soon.<\/li><\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-1e167d1\" data-block-id=\"1e167d1\"><style>.stk-1e167d1 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">ECCB2022 Best Poster Awards<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<ul><li>The ECCB2022 Best Poster Awards recognises the <strong>scientific quality and the communication effectiveness <\/strong>of the posters presented at ECCB2022. The <strong>Global Organisation for Bioinformatics Learning, Education and Training (GOBLET) <\/strong>will award the best posters selected by the Posters Committee.&nbsp;<\/li><\/ul>\n\n\n\n<ul><li>The evaluation criteria considered by the PostersCommittee are:<\/li><\/ul>\n\n\n\n<ol><li>Scientific quality and contribution of the results in computational biology and bioinformatics.<\/li><li>Visual communication effectiveness (visual attractiveness and structural clarity).<\/li><li>Data sources are open and clearly cited.<\/li><li>Engaging and well-structured presentation pitch.<\/li><li>Participants voting results.<\/li><\/ol>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-22fc178\" data-block-id=\"22fc178\"><style>.stk-22fc178 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Print shops<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>Please note that ECCB2022 organisers are not offering printing services. However, posters can be printed at the following copy shops from Sitges, both are at 15 min by walk from Hotel Meli\u00e0 Sitges: <\/p>\n\n\n\n<p><strong>Altraera<\/strong><br>Address: Av. Cam\u00ed dels Capellans, 20, 08870 Sitges<br>Phone: +34 93 522 22 93<br>Opening hours: from Monday to Friday (between 9:00-18:00h)<br>Web: <a href=\"https:\/\/www.altraera.com\/en\/computer-shop-sitges\/\">https:\/\/www.altraera.com<\/a><br>Email: copisteria@altraera.com<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>El pati<\/strong><br>Address: Carrer Illa de Cuba, 10, 08870 Sitges<br>Phone: +34 93 894 76 76<br>Opening hours: from Monday to Friday, between 9:30-13:30h and 16:30-20:00h; Saturday: between 10:00-13:30h<br>Email: el.pati.sitges@telefonica.net<\/p>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-b680d6d\" data-block-id=\"b680d6d\"><style>.stk-b680d6d .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Themes<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<p>Posters will be clustered by theme:<\/p>\n\n\n\n<ul><li>Data<\/li><li>Genes<\/li><li>Genomes<\/li><li>Proteins<\/li><li>Systems<\/li><li>Climate Crisis and Health<\/li><li>Applications<\/li><li>Training<\/li><\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-035a52d\" data-block-id=\"035a52d\"><style>.stk-035a52d .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">List of posters<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<ul><li>The date and time of the poster session assigned to you, and the final submission reference number are indicated in the list below.<\/li><\/ul>\n\n\n\n<ul><li>The final reference number of the poster identifies the poster board and the poster session day (for example, P001-T means poster panel 1 and poster session on Tuesday (T) and P032-M means poster panel 032 and poster session on Monday (M).<\/li><\/ul>\n\n\n\n<ul><li>Posters are ordered by topic and then by title. To search for your poster, you need to press the key \u201cCtrl + F\u201d and introduce your last name, abstract title or EasyChair reference code.<\/li><\/ul>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-fcb0ea2\" data-block-id=\"fcb0ea2\"><style>.stk-fcb0ea2{margin-top:50px !important}.stk-fcb0ea2 .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-8faf321\" data-block-id=\"8faf321\"><style>.stk-8faf321 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-8faf321 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-8faf321 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-8faf321 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-8faf321 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-8faf321 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-8faf321 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-527d292\" data-block-id=\"527d292\"><style>.stk-527d292 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-527d292 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-527d292 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-527d292 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-527d292 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-527d292 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-527d292 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-ff82369\" data-block-id=\"ff82369\"><style>.stk-ff82369 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-ff82369 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-ff82369 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-ff82369 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-ff82369 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-ff82369 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-ff82369 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-1373865\" data-block-id=\"1373865\"><style>.stk-1373865 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-1373865 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-1373865 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-1373865 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-1373865 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-1373865 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-1373865 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-a0d468c\" data-block-id=\"a0d468c\"><style>.stk-a0d468c .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-a0d468c .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-a0d468c .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-a0d468c .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-a0d468c .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-a0d468c .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-a0d468c .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-6cc2851\" data-block-id=\"6cc2851\"><style>.stk-6cc2851 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-6cc2851 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-6cc2851 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-6cc2851 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-6cc2851 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-6cc2851 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-6cc2851 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-400ba11\" data-block-id=\"400ba11\"><style>.stk-400ba11 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-400ba11 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-400ba11 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-400ba11 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-400ba11 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-400ba11 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-400ba11 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-1c0bc6b\" data-block-id=\"1c0bc6b\"><style>.stk-1c0bc6b .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-1c0bc6b .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-1c0bc6b .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-1c0bc6b .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-1c0bc6b .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-1c0bc6b .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-1c0bc6b .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-f5058ae\" id=\"h-data\" data-block-id=\"f5058ae\"><style>.stk-f5058ae .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Data<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>EasyChair<br>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>489<\/td><td>P001-M<\/td><td>A benchmark of library-size bias in correlation for single-cell expression data<\/td><td>Suzanne Jin, Nacho Molina, Ionas Erb and Cedric Notredame<\/td><\/tr><tr><td>8780<\/td><td>P002-M<\/td><td>A graph-based knowledge base of multi-layer clinical information for the heart failure disease<\/td><td>Irina-Afrodita Balaur, Shaman Narayanasamy, Nikolaus Berndt, Muhammad Shoaib, Sarah Nordmeyer, Titus K\u00fchne and Venkata Satagopam<\/td><\/tr><tr><td>9753<\/td><td>P003-M<\/td><td>A linear optimization approach for normalization of SARS-CoV-2 vaccination data<\/td><td>Simon Cyrani, Lukas Wenner, Ferdous Nasri and Bernhard Y Renard<\/td><\/tr><tr><td>3677<\/td><td>P004-M<\/td><td>A Named Entity Recognition Pipeline for Custom Anonymisation of Clinical Free-text Notes<\/td><td>Andreia Rogerio, Christopher Boustred, Anna Need and Francisco Azuaje<\/td><\/tr><tr><td>8585<\/td><td>P005-M<\/td><td>A simulation-based approach to normalize county-level vaccination data<\/td><td>Lukas Wenner, Simon Cyrani, Simon Knott, Ferdous Nasri and Bernhard Y Renard<\/td><\/tr><tr><td>9027<\/td><td>P006-M<\/td><td>A sustainable workflow for MPRA data analysis: MPRAsnakeflow<\/td><td>Pyaree Mohan Dash, Martin Kircher and Max Schubach<\/td><\/tr><tr><td>2652<\/td><td>P007-M<\/td><td>A Text Mining approach for retrieving gene::drug::cancer associations from full-text biomedical literature<\/td><td>Elissavet Zacharopoulou, Giorgos Skoufos, Spiros Tastsoglou and Artemis Hatzigeorgiou<\/td><\/tr><tr><td>6903<\/td><td>P008-M<\/td><td>A tissue specific post-translational modification (PTM) map of human proteome<\/td><td>Pathmanaban Ramasamy, Hanne Devos, Lennart Martens and Wim Vranken<\/td><\/tr><tr><td>9475<\/td><td>P009-M<\/td><td>Agnodice: indexing experimentally supported bacterial sRNA-RNA interactions<\/td><td>Vasiliki Kotsira, Giorgos Skoufos, Athanasios Alexiou, Filippos S. Kardaras, Maria Zioga, Spyros Tastsoglou, Theodosia Charitou, Zacharopoulou Elissavet, Nikos Perdikopanis and Artemis G. Hatzigeorgiou<\/td><\/tr><tr><td>3397<\/td><td>P010-M<\/td><td>AN INTEGRATIVE BIOINFORMATICS PIPELINE FOR THE ANALYSIS OF A COMPREHENSIVE NGS DIAGNOSTICS PAN-CANCER PANEL<\/td><td>Ra\u00fal Mar\u00edn, Ania Alay, Sara Hijazo-Pechero, Ernest Nadal, V\u00edctor Moreno and Xavier Sol\u00e9<\/td><\/tr><tr><td>5437<\/td><td>P011-M<\/td><td>Analysis of phenotypes using ontology and word embedding<\/td><td>Canh Nguyen-Duc, Gregor Bucher and J\u00fcrgen D\u00f6nitz<\/td><\/tr><tr><td>9368<\/td><td>P012-M<\/td><td>Analyzing socio-demographic biases in cellphone mobility data used for COVID-19 contact predictions<\/td><td>Conrad Halle, Ferdous Nasri, Jeremias D\u00f6tterl, Steven Schulz, Sten R\u00fcdiger and Bernhard Y Renard<\/td><\/tr><tr><td>8471<\/td><td>P013-M<\/td><td>Assessing SARS-CoV-2 evolution through the analysis of emerging mutations<\/td><td>Anastasios Mitsigkolas, Nikolaos Pechlivanis and Fotis Psomopoulos<\/td><\/tr><tr><td>9601<\/td><td>P014-M<\/td><td>ASTERICS: A Tool for the ExploRation and Integration of omiCS data<\/td><td>\u00c9lise Maign\u00e9, C\u00e9line Noirot, J\u00e9r\u00f4me Mariette, Yaa Adu Kesewaah, S\u00e9bastien D\u00e9jean, Camille Guilmineau, Julien Henry, Arielle Krebs, Laurence Liaubet, Fanny Mathevet, Hyphen-Stat, Christine Gaspin and Nathalie Vialaneix<\/td><\/tr><tr><td>2335<\/td><td>P015-M<\/td><td>Benchmarking methods for the identification of mislabeled data in genomics<\/td><td>Lusine Nazaretyan, Martin Kircher and Ulf Leser<\/td><\/tr><tr><td>9367<\/td><td>P016-M<\/td><td>BEstimate: a python tool for in silico analysis of potential edits with CRISPR base editors<\/td><td>Cansu Dincer, Matthew Coelho and Mathew Garnett<\/td><\/tr><tr><td>6790<\/td><td>P017-M<\/td><td>BLOOD LIPID PROFILE AS AN INDICATOR OF PSYCHIATRIC DISORDERS<\/td><td>Anna Tkachev, Anna Morozova, Yana Zorkina, Alexander Reznik, Denis Andreyuk, Elena Stekolshchikova, Nickolay Anikanov, Georgiy Kostyuk and Philipp Khaitovich<\/td><\/tr><tr><td>5598<\/td><td>P018-M<\/td><td>Breast Cancer Detection in UKBiobank Data Using Mutation Based Gene Weighting and Deep Learning<\/td><td>Nuriye \u00d6zlem \u00d6zcan \u015eim\u015fek, Fikret Gurgen and Arzucan Ozgur<\/td><\/tr><tr><td>887<\/td><td>P019-M<\/td><td>CABiNet \u2013 Biclustering and joint cell-gene visualization of single-cell transcriptomics<\/td><td>Yan Zhao, Clemens Kohl and Martin Vingron<\/td><\/tr><tr><td>1222<\/td><td>P020-M<\/td><td>Can we trust probabilities in deep drug activity models? A comparative calibration study.<\/td><td>Hannah Rosa Friesacher, Lewis Mervin H, Ola Engkvist, Yves Moreau and Adam Arany<\/td><\/tr><tr><td>7934<\/td><td>P021-M<\/td><td>ClustAssess: tools for assessing the robustness of single-cell clustering<\/td><td>Irina Mohorianu, Arash Shahsavari and Andi Munteanu<\/td><\/tr><tr><td>9217<\/td><td>P022-M<\/td><td>Concordant or not? Performance and concordance rates analysis of ten prediction algorithms on clinically relevant variants from the BRCA1 and BRCA2 genes.<\/td><td>Erda Qorri, Bertalan Tak\u00e1cs, Alexandra Gr\u00e1f, M\u00e1rton Z. Enyedi, Lajos Pint\u00e9r, Ern\u0151 Kiss and Lajos Haracska<\/td><\/tr><tr><td>6651<\/td><td>P023-M<\/td><td>Covid-19 Mutation Incidence Forecasting using Spatio-Temporal Graph Neural Networks<\/td><td>Larissa Hoffaeller, Athar Khodabakhsh and Bernhard Renard<\/td><\/tr><tr><td>9622<\/td><td>P024-M<\/td><td>&#8211;<\/td><td>NOT REGISTERED<\/td><\/tr><tr><td>1477<\/td><td>P025-M<\/td><td>Cross-Mapper for Structural Domains (CroMaSt): A workflow for domain family curation through cross-mapping of structural instances between protein domain databases<\/td><td>Hrishikesh Dhondge, Isaure Chauvot de Beauch\u00eane and Marie-Dominique Devignes<\/td><\/tr><tr><td>6701<\/td><td>P026-M<\/td><td>Data and Computing Platform to facilitate NCER-PD (National Center of Excellence in Research in Parkinson&#8217;s disease) project<\/td><td>Rajesh Rawal, Carlos Vega, Soumyabrata Ghosh, Sascha Herzinger, Kirsten Roomp, Peter Banda, Piotr Gawron, Rejko Kr\u00fcger, Jens C. Schwamborn and Venkata P. Satagopam<\/td><\/tr><tr><td>7111<\/td><td>P027-M<\/td><td>Data integration analysis for profiling host-microbiome interactions in non-responsive Celiac disease patients.<\/td><td>Laura Judith Marcos-Zambrano, Blanca LaCruz, Viviana Loria-Kohen, Ana Ramirez de Molina and Enrique Carrillo de Santa Pau<\/td><\/tr><tr><td>516<\/td><td>P028-M<\/td><td>Data Management in Galaxy<\/td><td>Beatriz Serrano-Solano and Bjoern Gruening<\/td><\/tr><tr><td>5126<\/td><td>P029-M<\/td><td>Dereplication with DEREPer: a tool for High Throughput Metabolomics with LC-MS\/MS<\/td><td>Simone Zorzan, Kjell Sergeant and Sophie Charton<\/td><\/tr><tr><td>8941<\/td><td>P030-M<\/td><td>Designing a Cloud and HPC Based Model&amp;Simulation platform to Investigate Diseases Mechanisms<\/td><td>Maria Paola Ferri, Laia Cod\u00f3 Tarraubella, Josep Lluis Gelpi Buchaca, Dimitrios Lialios and Francesco Gualdi<\/td><\/tr><tr><td>6694<\/td><td>P031-M<\/td><td>DiASPora: A Natural Language Processing platform for automated extraction of microbial phenotype information from scientific articles<\/td><td>Arindam Halder, Ziyad Ziyad and Konrad U F\u00f6rstner<\/td><\/tr><tr><td>3446<\/td><td>P032-M<\/td><td>Digital Heart (DHART) Research: A multi-omics resource portal for the cardiac community<\/td><td>Etienne Boileau, Christoph Dieterich, Harald Wilhelmi and Enio Gjerga<\/td><\/tr><tr><td>3069<\/td><td>P033-M<\/td><td>digitalDLSorteR: An R package to deconvolute bulk RNA-Seq from scRNA-Seq data<\/td><td>Diego Ma\u00f1anes Cayero, Carlos Torroja, Carlos Rela\u00f1o Ruperez, In\u00e9s Rivero Garc\u00eda and F\u00e1tima S\u00e1nchez-Cabo<\/td><\/tr><tr><td>2820<\/td><td>P034-M<\/td><td>Disentangling spatial and non-spatial transcriptomic signals: A modified variational auto encoder model<\/td><td>Lo\u00efc Chadoutaud, Andrei Zinovyev and Emmanuel Barillot<\/td><\/tr><tr><td>3428<\/td><td>P035-M<\/td><td>Efficient and rapid genome profiling of SARS-CoV-2 by covSonar<\/td><td>Alice Wittig, Kunaphas Kongkitimanon and Stephan Fuchs<\/td><\/tr><tr><td>3176<\/td><td>P036-M<\/td><td>Evaluation of the bioinformatics tumour-control approach in a next-sequencing panel in pediatric leukemia<\/td><td>Beatriz Ruz-Caracuel, Carlos Rodr\u00edguez-Antol\u00edn, Carmen Rodr\u00edguez Jim\u00e9nez, Sonia Rodr\u00edguez Novoa, Victoria Eugenia Fern\u00e1ndez Monta\u00f1o, Victoria G\u00f3mez del Pozo, Inmaculada Ib\u00e1\u00f1ez, Javier de Castro, Adela Escudero L\u00f3pez and Antonio P\u00e9rez-Mart\u00ednez<\/td><\/tr><tr><td>2313<\/td><td>P037-M<\/td><td>Event segmentation in highly modified Nanopore direct RNA sequencing<\/td><td>Wiep van der Toorn, Patrick Bohn, Liuwei Wang, Redmond Smyth and Max von Kleist<\/td><\/tr><tr><td>2776<\/td><td>P038-M<\/td><td>Exploiting Pretrained Biochemical Language Models for Targeted Drug Design<\/td><td>G\u00f6k\u00e7e Uludo\u011fan, Elif Olmez, Nilg\u00fcn Karal\u0131, Kutlu \u00d6. \u00dclgen and Arzucan Ozgur<\/td><\/tr><tr><td>2008<\/td><td>P039-M<\/td><td>Exploring Chemical Diversity with the Chemical Checker<\/td><td>Martino Bertoni and Patrick Aloy<\/td><\/tr><tr><td>4497<\/td><td>P040-M<\/td><td>Exploring the development of innate immune responses to infection in early life: A call for data.<\/td><td>Mary McCabe, Dr Guillermo Lopez Campos, Dr Helen Groves and Professor Ultan Power<\/td><\/tr><tr><td>5250<\/td><td>P041-M<\/td><td>Extending the potential of plasmiR in the cancer microRNA biomarker landscape<\/td><td>Marios Miliotis, Dimitris Grigoriadis, Spyros Tastsoglou, Nikos Perdikopanis, Athanasios Alexiou and Artemis Hatzigeorgiou<\/td><\/tr><tr><td>1824<\/td><td>P042-M<\/td><td>FAIR by Design &#8211; FAIRification Strategy in Large Data Centric Projects<\/td><td>Soumyabrata Ghosh, Irina-Afrodita Balaur, Basile Rommes, Kavita Rege, Hanna \u0106wiek-Kupczy\u0144ska, Wei Gu and Venkata Pardhasaradhi Satagopam<\/td><\/tr><tr><td>3133<\/td><td>P043-M<\/td><td>Far tail approximation of non-standard test statistic distribution<\/td><td>Krzysztof Mnich, Wojciech Lesi\u0144ski and Witold Rudnicki<\/td><\/tr><tr><td>9537<\/td><td>P044-M<\/td><td>Forest-Guided Clustering &#8211; Explainability for Random Forest Models<\/td><td>Lisa Barros de Andrade E Sousa, Dominik Thalmeier, Helena Pelin and Marie Piraud<\/td><\/tr><tr><td>6682<\/td><td>P045-M<\/td><td>From climate defined ecological niches to microbiome diversity and intra-community synergies<\/td><td>Dagmara B\u0142aszczyk, Witold Wydma\u0144ski, Krzysztof Mnich, Valentyn Bezshapkin, Micha\u0142 B. Kowalski, Alina Frolova, Witold Rudnicki and Pawe\u0142 P. \u0141abaj<\/td><\/tr><tr><td>5192<\/td><td>P046-M<\/td><td>Gene co-occurrence analysis for prediction of unknown gene function<\/td><td>Bartosz Baranowski and Krzysztof Paw\u0142owski<\/td><\/tr><tr><td>3657<\/td><td>P047-M<\/td><td>GenOptics: An intuitive platform of visual analytics for integrative analysis of large-scale multi-omics data<\/td><td>Konstantinos A. Kyritsis, Nikolaos Pechlivanis, Angeliki Magklara, Anastasia Kougioumtzi, Panagiotis Dafopoulos, Eleni Ntzioni, Efstathia Tsarouchi, Dimitris Sakellariou, Marios Kotoulas, Stratos Arampatzis, Panagiotis Chatzikamaris, Elisavet Siomou, Maria Argyraki, Dimitrios Botskaris, Iannis Talianidis, Fotis Psomopoulos and Vasileios Vasileiou<\/td><\/tr><tr><td>7430<\/td><td>P048-M<\/td><td>GWAS Central: a resource for the discovery and comparison of summary-level genome-wide association study data<\/td><td>Tim Beck, Tom Shorter, Thomas Rowlands and Anthony Brookes<\/td><\/tr><tr><td>4582<\/td><td>P049-M<\/td><td>IDEAS: Integrative and Differential Expression and Alternative Splicing Analysis<\/td><td>Leonie Pohl, Armin Hadziahmetovic, Alexandra Schub\u00f6 and Ralf Zimmer<\/td><\/tr><tr><td>7425<\/td><td>P050-M<\/td><td>Identifying Viral miRNAs with Text Mining at the example of SARS-CoV-2 (VIM-TM)<\/td><td>Markus Joppich, Armin Hadziahmetovic, Alexandra Schub\u00f6 and Ralf Zimmer<\/td><\/tr><tr><td>735<\/td><td>P051-M<\/td><td>Imaging Data: Adding a new type of annotations to 3DBionotes-WS<\/td><td>Carolina Sim\u00f3n Guerrero, Jose Ramon Macias, Erney Ram\u00edrez-Aportela, Jose Luis Vilas Prieto, Marta Martinez Gonzalez, Carlos Oscar Sanchez Sorzano and Jose Maria Carazo<\/td><\/tr><tr><td>2650<\/td><td>P052-M<\/td><td>Impact of preprocessing in data integration of single-cell RNA-seq data<\/td><td>Youngjun Park and Anne-Christin Hauschild<\/td><\/tr><tr><td>5575<\/td><td>P053-M<\/td><td>IMPaCT-Data&nbsp;Biomedical&nbsp;Cloud: An initial iteration for a&nbsp;federated virtual computing environment in the context of Precision Medicine&nbsp;in Spain.<\/td><td>Mar\u00eda Chavero-D\u00edez, Jose Mar\u00eda Fern\u00e1ndez, Laia Cod\u00f3, Lidia Lopez, Salvador Capella-Gutierrez, Josep Lluis Gelpi and Impact-Data Wp Two<\/td><\/tr><tr><td>4179<\/td><td>P001-T<\/td><td>Implementing best practices for setting a bioinformatics core facility<\/td><td>Pau Marc Mu\u00f1oz Torres, Merce Alemany-Chavarria and Lara Nonell<\/td><\/tr><tr><td>668<\/td><td>P002-T<\/td><td>Indication expansion via geometric scattering-based knowledge graph embedding<\/td><td>Dhananjay Bhaskar, Sergio Picart-Armada and Smita Krishnaswamy<\/td><\/tr><tr><td>4669<\/td><td>P003-T<\/td><td>InSoLiTo: The research software graph-based network from OpenEBench<\/td><td>Sergi Aguil\u00f3-Castillo, Jos\u00e9 M. Fern\u00e1ndez, Josep Ll. Gelp\u00ed and Salvador Capella-Gutierrez<\/td><\/tr><tr><td>7551<\/td><td>P004-T<\/td><td>Integration of multi-omics data using graph neural networks to identify and contextualize biomarker genes for psychiatric disorders<\/td><td>Svitlana Oleshko, Francesc Fern\u00e1ndez-Albert, Matthias Heinig, Sergio Picart-Armada and Annalisa Marsico<\/td><\/tr><tr><td>4287<\/td><td>P005-T<\/td><td>Integrative network analysis interweaves the missing links in cardiomyopathy diseasome<\/td><td>Pankaj Chauhan and Ramanathan Sowdhamini<\/td><\/tr><tr><td>9486<\/td><td>P006-T<\/td><td>Introducing the National Research Data Infrastructure for the Research of Microbiota (NFDI4Microbiota)<\/td><td>Adrian Fritz, Anke Becker, Peer Bork, Thomas Clavel, Ulisses Nunes da Rocha, Konrad U. F\u00f6rstner, Alexander Goesmann, Barbara G\u00f6tz, Manja Marz, J\u00f6rg Overmann, Carmen Paulmann, Kristin Sauerland, Alexander Sczyrba, Jens Stoye and Alice C. McHardy<\/td><\/tr><tr><td>3603<\/td><td>P007-T<\/td><td>It\u2019s FLAN time! Summing feature-wise latent representations for interpretability<\/td><td>An-Phi Nguyen, Stefania Vasilaki, Maria Rodriguez Martinez and Alice Driessen<\/td><\/tr><tr><td>9983<\/td><td>P008-T<\/td><td>Latent Variable Random Forest for Enhanced Feature Importance<\/td><td>Melpomeni Kasapi, Kexin Xu, James S. Ware, Declan P. O&#8217;Regan, Timothy M.D. Ebbels and Joram M. Posma<\/td><\/tr><tr><td>2496<\/td><td>P009-T<\/td><td>LCRBert: word embedding to support detection of articles containing low-complexity regions<\/td><td>Sylwia Szyma\u0144ska and Aleksandra Gruca<\/td><\/tr><tr><td>6322<\/td><td>P010-T<\/td><td>Light-weight alignment enables fast and accurate metagenome and metatranscriptome quantification<\/td><td>Shuba Varshini Alampalli, Eva Weiss and Lars Barquist<\/td><\/tr><tr><td>1524<\/td><td>P011-T<\/td><td>Low Complexity Regions in kinases<\/td><td>Joanna Ziemska-Legi\u0119cka, Aleksandra Gruca and Marcin Grynberg<\/td><\/tr><tr><td>2618<\/td><td>P012-T<\/td><td>Machine learning for extraction of biochemical reactions from the scientific literature\u200b<\/td><td>Blanca Cabrera Gil, Anne Morgat, Venkatesh Muthukrishnan, Elisabeth Coudert, Kristian Axelsen, Nicole Redaschi and Alan Bridge<\/td><\/tr><tr><td>2392<\/td><td>P013-T<\/td><td>Machine learning identifies weak prognostic signal in colorectal polyp&#8217;s transcriptome<\/td><td>Russell Hung, Simon Fisher, Ditte Andersen, Gerard Lynch, Noori Maka, Jennifer Hay, Jakub Jawny, William Sloan, Stephen McSorley, Joanne Edwards and Ian Poole<\/td><\/tr><tr><td>3126<\/td><td>P014-T<\/td><td>Microbial co-occurrence network reveals climate and geographic patterns for soil diversity on the planet<\/td><td>Nikolaos Pechlivanis, George Karakatsoulis, Stefanos Sgardelis, Ilias Kappas and Fotis Psomopoulos<\/td><\/tr><tr><td>9758<\/td><td>P015-T<\/td><td>Mitigating failure modes of molecular optimization using expert constraints and ensembles<\/td><td>Adam Arany, Jaak Simm, Natalia Dyubankova, Jonas Verhoeven, Martijn Oldenhof and Yves Moreau<\/td><\/tr><tr><td>4336<\/td><td>P016-T<\/td><td>MTLSurv: Predicting Breast Cancer Patients\u2019 Survival with Multimodal Deep Neural Networks and Modality-Specific Transfer Learning<\/td><td>S\u00f6ren Richard Stahlschmidt, G\u00f6ran Falkman, Benjamin Ulfenborg and Jane Synnergren<\/td><\/tr><tr><td>391<\/td><td>P017-T<\/td><td>Multi-omics lung cancer subtyping by machine learning informs biomarker-guided drug development<\/td><td>Sven-Eric Schelhorn<\/td><\/tr><tr><td>1284<\/td><td>P018-T<\/td><td>Namco: A microbiome explorer<\/td><td>Monica Matchado, Alexander Dietrich, Maximilian Zwiebel, Benjamin \u00d6lke, Michael Lauber, Ilias Lagkouvardos, Beate Brandl, Thomas Skurk, Jan Baumbach, Hans Hauner, Dirk Haller, Sandra Reitmeier and Markus List<\/td><\/tr><tr><td>344<\/td><td>P019-T<\/td><td>nf-core as the standard for BovReg reference pipelines<\/td><td>Jose Espinosa-Carrasco, Bj\u00f6rn E. Langer, Philip A. Ewels, Harshil Patel, Peter Harrison and Cedric Notredame<\/td><\/tr><tr><td>3007<\/td><td>P020-T<\/td><td>Nightingale, visualizing biology on the web following standards<\/td><td>Aur\u00e9lien Luciani, Gustavo Salazar, Daniel Rice, Swaathi Kandasaamy and Maria Martin<\/td><\/tr><tr><td>8104<\/td><td>P021-T<\/td><td>Omics data integration with Correlation guided Network Integration (CoNI)<\/td><td>Jos\u00e9 Manuel Monroy Kuhn, Sonja C. Schriever, Viktorian Miok, Andreas Peter, Martin Heni, Paul T. Pfluger and Dominik Lutter<\/td><\/tr><tr><td>4024<\/td><td>P022-T<\/td><td>Panomicon, allowing heterogeneous multi-omics analysis on the web<\/td><td>Rodolfo Allendes, Johan T. Nystroem-Persson, Yuji Kosugi, Kenji Mizuguchi and Yayoi Natsume-Kitatani<\/td><\/tr><tr><td>3840<\/td><td>P023-T<\/td><td>PascalX: Detecting shared genes and pathways between pairs of GWAS traits<\/td><td>Daniel Krefl and Sven Bergmann<\/td><\/tr><tr><td>7557<\/td><td>P024-T<\/td><td>Pilot: Making Research Data FAIR<\/td><td>Christina Yung, Moyez Dharsee, Fan Dong, Kenneth Evans, Susan Evans, Tom Gee, Mojib Javadi, Stephane Pollentier and Shahab Shahnazari<\/td><\/tr><tr><td>9515<\/td><td>P025-T<\/td><td>Predicting Gene Dependencies using Machine Learning from Proteomic Data<\/td><td>Robert Nkwo, Shirin Khorsandi and Pedro Cutillas<\/td><\/tr><tr><td>4977<\/td><td>P026-T<\/td><td>PROMPT: Toward PRecisiOn Medicine for the Prediction of Treatment response in major depressive disorder through stratification of combined clinical and -omics<\/td><td>J\u00falia Perera-Bel, Alessandra Minelli, Johannes Zang, Britta Kelch, Mar\u00eda Mart\u00ednez de Lagr\u00e1n, Mara Dierssen, Bernardo Carpiniello, Massimo Gennarelli, Filip Rybakowski, Marie-Claude Potier, Ferran Sanz and Bernhard T Baune<\/td><\/tr><tr><td>6121<\/td><td>P027-T<\/td><td>RDMkit: the ELIXIR Research Data Management Kit<\/td><td>Laura Portell Silva and Munazah Andrabi<\/td><\/tr><tr><td>514<\/td><td>P028-T<\/td><td>Recommendations on training VAEs on TCGA transcriptome data<\/td><td>Mostafa Eltager, Tamim Abdelaal, Mohammed Charrout, Ahmed Mahfouz, Marcel Reinders and Stavros Makrodimitris<\/td><\/tr><tr><td>1565<\/td><td>P029-T<\/td><td>Rhea, a FAIR resource of expert curated biochemical and transport reaction data.<\/td><td>Parit Bansal, Anne Morgat, Kristian Axelsen, Venkatesh Muthukrishnan, Elisabeth Coudert, Lucila Aimo, Nevila Hyka-Nouspikel, Elisabeth Gasteiger, Arnaud Kerhornou, Teresa Neto, Monica Pozzato, Marie-Claude Blatter, Nicole Redaschi and Alan Bridge<\/td><\/tr><tr><td>415<\/td><td>P030-T<\/td><td>ROLE OF RNA-SEQ PREPROCESSING STEPS IN MOLECULAR SUBTYPE CLASSIFICATION IN MUSCLE-INVASIVE BLADDER CANCER<\/td><td>Ariadna Acedo-Terrades, J\u00falia Perera-Bel, Joaquim Bellmunt and Lara Nonell<\/td><\/tr><tr><td>7249<\/td><td>P031-T<\/td><td>scDAVIS: Single-cell Data Analysis and VISualization<\/td><td>Carlos Torroja, Daniel Jimenez Carretero, Jon E. Sicilia, Juan L. Onieva Zafra, Jorge G. Garcia Gomez, Celia Centeno Tundidor and Fatima Sanchez-Cabo<\/td><\/tr><tr><td>4681<\/td><td>P032-T<\/td><td>Short read de novo transcriptome assembly by means of ant colony optimization<\/td><td>Karl Johan Westrin, Olof Emanuelsson and Henric Zazzi<\/td><\/tr><tr><td>5590<\/td><td>P033-T<\/td><td>Single-cell transcriptomic analyses reveal distinct B cell subsets and their class-switch recombination dynamics<\/td><td>Joseph Ng, Alexander Stewart, Deborah Dunn-Walters and Franca Fraternali<\/td><\/tr><tr><td>1319<\/td><td>P034-T<\/td><td>Software Observatory<\/td><td>Eva Martin del Pico, Salvador Capella-Guti\u00e9rrez and Josep Ll Gelpi<\/td><\/tr><tr><td>8028<\/td><td>P035-T<\/td><td>SQANTI3: how to curate a Long Read-defined transcriptome in 3 steps.<\/td><td>Francisco J. Pardo-Palacios, \u00c1ngeles Arzalluz Luque and Ana Conesa<\/td><\/tr><tr><td>4554<\/td><td>P036-T<\/td><td>SQANTISIM: a simulator of controlled novelty and degradation of transcripts sequenced by long-reads<\/td><td>Jorge Mestre-Tom\u00e1s, Francisco J. Pardo-Palacios and Ana Conesa<\/td><\/tr><tr><td>8216<\/td><td>P037-T<\/td><td>Standardized analysis of complex RNAseq experiments using Snakemake<\/td><td>Christian M. Heyer, Ashik Ahmed Abdul Pari, Hellmut G. Augstin and Matthias Schlesner<\/td><\/tr><tr><td>9659<\/td><td>P038-T<\/td><td>Systematic benchmarking and error evaluation of basecallers for Nanopore Direct RNA-seq<\/td><td>Wang Liu-Wei, Patrick Bohn, Wiep van der Toorn, Redmond Smyth and Max von Kleist<\/td><\/tr><tr><td>1507<\/td><td>P039-T<\/td><td>Temporal changes in microbiome composition after FMT in subject with Clostridioides difficile infection: a network perspective<\/td><td>Marco Cappellato, Massimo Bellato, Giacomo Baruzzo, Sonia Facchin, Luisa Barzon, Valeria Besutti, Paola Brun, Simone Del Favero, Luca Schenato, Edoardo Vincenzo Savarino, Ignazio Castagliuolo and Barbara Di Camillo<\/td><\/tr><tr><td>9141<\/td><td>P040-T<\/td><td>Text mining resources for extracting genetic and phenotypic data from scientific publication full-texts and tables<\/td><td>Thomas Rowlands, Janet Pinero, Pablo Accuosto, Tom Shorter, Joram Posma, Laura Furlong and Tim Beck<\/td><\/tr><tr><td>5144<\/td><td>P041-T<\/td><td>The Wisdom of the Crowd: comparing individual and aggregated solutions for metagenomics-based inflammatory bowel disease diagnostics in the scope of the sbv IMPROVER MEDIC challenge<\/td><td>Lusine Khachatryan, Carine Poussin, Yang Xiang, Adrian Stan, James Battey, Giuseppe Lo Sasso, Stephanie Boue, Nicolas Sierro, Nikolai Ivanov and Julia Hoeng<\/td><\/tr><tr><td>6028<\/td><td>P042-T<\/td><td>tolKG: A Linked Knowledge Graph using NLP for Immune Regulatory Cells &nbsp;<\/td><td>Ayesha Sahar, Phillip Lord, Catharien Hilkens, Michael Hughes and Lee Harland<\/td><\/tr><tr><td>3534<\/td><td>P043-T<\/td><td>Towards a knowledge graph for pre-\/probiotics and microbiota-gut-brain axis diseases<\/td><td>Ting Liu, Gongjin Lan, K. Anton Feenstra, Zhisheng Huang and Jaap Heringa<\/td><\/tr><tr><td>2669<\/td><td>P044-T<\/td><td>Towards a more inductive world: A review on graph embedding methods for drug repurposing approaches<\/td><td>Jes\u00fas De la Fuente, Guillermo Serrano, Ux\u00eda Veleiro, Mikel Casals, Oier Azurmendi-Senar, Antonio Pineda-Lucena, Idoia Ochoa, Silve Vicent, Olivier Gevaert and Mikel Hernaez<\/td><\/tr><tr><td>4041<\/td><td>P045-T<\/td><td>Towards interpretable machine learning applications in human microbiome via information theory-guided feature selection<\/td><td>Valentyn Bezshapkin, Witold Wydma\u0144ski, Krzysztof Mnich, Micha\u0142 Kowalski, Dagmara B\u0142aszczyk, Tomasz Ko\u015bci\u00f3\u0142ek, Witold Rudnicki and Pawe\u0142 \u0141abaj<\/td><\/tr><tr><td>7217<\/td><td>P046-T<\/td><td>Transmorph: A computational framework for dataset integration<\/td><td>Aziz Fouch\u00e9, Lo\u00efc Chadoutaud and Andrei Zinovyev<\/td><\/tr><tr><td>9854<\/td><td>P047-T<\/td><td>tRNAstudio: facilitating the study of human tRNA-seq datasets<\/td><td>Marina Murillo Recio, Adrian Gabriel Torres and Llu\u00eds Ribas de Pouplana<\/td><\/tr><tr><td>214<\/td><td>P048-T<\/td><td>Using Statistical and Machine Learning Models to Identify Features Contributing to Class Switch Recombination<\/td><td>Lutecia Servius, Joseph Chi-Fung Ng, Davide Pigoli and Franca Fraternali<\/td><\/tr><tr><td>3523<\/td><td>P049-T<\/td><td>VIROMEdash: Global Virome Sequence Metadata Visualizer<\/td><td>Eyy\u00fcb \u00dcnl\u00fc and Mohammad A. Khan<\/td><\/tr><tr><td>5367<\/td><td>P050-T<\/td><td>WorkflowHub: a FAIR registry for workflows<\/td><td>Carole Goble, Finn Bacall, Stian Soiland-Reyes, Stuart Owen, Alan Williams, Ignacio Eguinoa, Bert Droesbeke, Herv\u00e9 M\u00e9nager, Laura Rodr\u00edguez Navas, Jos\u00e9 Maria Fern\u00e1ndez Gonz\u00e1lez, Salvador Capella-Gutierrez, Michael R. Crusoe, Bj\u00f6rn Gr\u00fcning, Simone Leo, Luca Pireddu, Johan Gustafsson, Phil Ewels and Frederik Coppens<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-a51c0a9\" data-block-id=\"a51c0a9\"><style>.stk-a51c0a9{margin-top:50px !important}.stk-a51c0a9 .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-4c0fd41\" data-block-id=\"4c0fd41\"><style>.stk-4c0fd41 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-4c0fd41 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-4c0fd41 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-4c0fd41 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-4c0fd41 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-4c0fd41 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-4c0fd41 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-a865503\" data-block-id=\"a865503\"><style>.stk-a865503 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-a865503 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-a865503 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-a865503 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-a865503 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-a865503 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-a865503 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-5730896\" data-block-id=\"5730896\"><style>.stk-5730896 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-5730896 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-5730896 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-5730896 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-5730896 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-5730896 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-5730896 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-04c39ba\" data-block-id=\"04c39ba\"><style>.stk-04c39ba .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-04c39ba .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-04c39ba .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-04c39ba .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-04c39ba .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-04c39ba .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-04c39ba .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-6469365\" data-block-id=\"6469365\"><style>.stk-6469365 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-6469365 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-6469365 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-6469365 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-6469365 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-6469365 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-6469365 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-2a3125b\" data-block-id=\"2a3125b\"><style>.stk-2a3125b .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-2a3125b .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-2a3125b .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-2a3125b .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-2a3125b .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-2a3125b .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-2a3125b .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-641b7d0\" data-block-id=\"641b7d0\"><style>.stk-641b7d0 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-641b7d0 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-641b7d0 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-641b7d0 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-641b7d0 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-641b7d0 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-641b7d0 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-a4749a2\" data-block-id=\"a4749a2\"><style>.stk-a4749a2 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-a4749a2 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-a4749a2 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-a4749a2 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-a4749a2 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-a4749a2 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-a4749a2 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-4ceda4a\" id=\"h-genes\" data-block-id=\"4ceda4a\"><style>.stk-4ceda4a .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Genes<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>4005<\/td><td>P054-M<\/td><td>A gene expression signature for survival and risk prediction of Breast Cancer that improves the signatures used in clinical genomic platforms<\/td><td>Santiago Bueno-Fortes, Alberto Berral-Gonzalez, Jose M Sanchez-Santos, Manuel Martin-Merino and Javier De Las Rivas<\/td><\/tr><tr><td>4414<\/td><td>P055-M<\/td><td>A knowledge graph approach for interpretable prediction of pathogenic genetic interactions<\/td><td>Alexandre Renaux, Chlo\u00e9 Terwagne, Michael Cochez, Ilaria Tiddi, Ann Now\u00e9 and Tom Lenaerts<\/td><\/tr><tr><td>1633<\/td><td>P056-M<\/td><td>A multi cohort analysis workflow for RNA-seq data<\/td><td>Xinhui Wang, Soumyabrata Ghosh and Venkata Satagopam<\/td><\/tr><tr><td>1429<\/td><td>P057-M<\/td><td>A New Method for Discovering Drivers Made of Epistatic Gene Pairs in Cancer Tumors<\/td><td>Jairo Rocha, Jaume Sastre Tomas, Victor Asensio-Landa, Emilia Amengual-Cladera, Jessica Hernandez-Rodriguez, Dami\u00e0 Heine-Su\u00f1er and Emidio Capriotti<\/td><\/tr><tr><td>571<\/td><td>P058-M<\/td><td>A spatial and single-cell transcriptomics approach to investigate scleroderma in human fibroblasts.<\/td><td>Till Baar, Ann-Helen Rosendahl, Katrin Sch\u00f6nborn, Niklas Kleinenkuhnen, Beate Eckes, Pia Moinzadeh, Thomas Krieg and Achim Tresch<\/td><\/tr><tr><td>9492<\/td><td>P059-M<\/td><td>A state-of-the-art and easy-to-use Python framework for plant phenotype prediction<\/td><td>Florian Haselbeck, Maura John and Dominik Grimm<\/td><\/tr><tr><td>3485<\/td><td>P060-M<\/td><td>acorde unravels functionally interpretable networks of isoform co-usage from single cell data<\/td><td>\u00c1ngeles Arzalluz-Luque, Sonia Tarazona and Ana Conesa<\/td><\/tr><tr><td>5350<\/td><td>P061-M<\/td><td>Allele-specific copy-number based deconvolution of bulk tumour RNA sequencing data from the TRACERx study<\/td><td>Carla Castignani, Jonas Demeulemeester, Elizabeth Larose Cadieux, Robert E. Hynds, Stefan C. Dentro, Tracerx Consortium, Charles Swanton and Peter Van Loo<\/td><\/tr><tr><td>4791<\/td><td>P062-M<\/td><td>Analysis of differential cellular communication from single cell RNA-seq data with scSeqComm<\/td><td>Giulia Cesaro, Giacomo Baruzzo and Barbara Di Camillo<\/td><\/tr><tr><td>8446<\/td><td>P063-M<\/td><td>Analysis of transposable elements in R and Bioconductor with atena<\/td><td>Beatriz Calvo-Serra and Robert Castelo<\/td><\/tr><tr><td>923<\/td><td>P064-M<\/td><td>APPRIS: selecting functionally important isoforms<\/td><td>Daniel Cerd\u00e1n-V\u00e9lez, Jose Manuel Rodr\u00edguez, Fernando Pozo, Tom\u00e1s Di Domenico, Jes\u00fas V\u00e1zquez and Michael Tress<\/td><\/tr><tr><td>7258<\/td><td>P065-M<\/td><td>BamQuery: A new proteogenomic tool to explore the Immunopeptidome<\/td><td>Maria Virginia Ruiz Cuevas, Marie-Pierre Hardy, Anca Apavaloaei, Sebastien Lemieux, Claude Perreault and Gregory Ehx<\/td><\/tr><tr><td>9004<\/td><td>P066-M<\/td><td>Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data<\/td><td>Sini Junttila, Johannes Smolander and Laura Elo<\/td><\/tr><tr><td>3777<\/td><td>P067-M<\/td><td>Beyondcell 2.0: dissecting therapeutic heterogeneity in spatial single-cell RNA-seq data<\/td><td>Mar\u00eda Jos\u00e9 Jim\u00e9nez-Santos, Coral Fustero-Torre, Santiago Garc\u00eda-Mart\u00edn, Carlos Carretero-Puche, Luis Garc\u00eda-Jimeno, Tom\u00e1s Di Domenico, Gonzalo G\u00f3mez-L\u00f3pez and F\u00e1tima Al-Shahrour<\/td><\/tr><tr><td>8338<\/td><td>P068-M<\/td><td>Cancer signatures for reproducible gene expression analysis data: the computational way to achieve precision medicine<\/td><td>Stefania Pirrotta, Laura Masatti, Fabiola Pedrini, Chiara Romualdi and Enrica Calura<\/td><\/tr><tr><td>7003<\/td><td>P069-M<\/td><td>Cell type specificity of Hi-C interaction network topology and gene expression patterns<\/td><td>Juris Viksna, Lelde Lace, Gatis Melkus, Peteris Rucevskis, Edgars Celms, Sandra Silina and Andrejs Sizovs<\/td><\/tr><tr><td>7568<\/td><td>P070-M<\/td><td>Cell type-specific gene co-expression modules and expression signatures define tumor heterogeneity in melanoma patients<\/td><td>Lars Bosshard, Franziska Singer and Michael Prummer<\/td><\/tr><tr><td>8917<\/td><td>P071-M<\/td><td>Comparative study of dynamic changes in gene expression profiles induced by PPARa ligands<\/td><td>Yayoi Natsume-Kitatani, Ken-Ichi Aisaki, Satoshi Kitajima and Jun Kanno<\/td><\/tr><tr><td>3318<\/td><td>P072-M<\/td><td>Comparison of Deconvolution Techniques for Spatially Resolved Transcriptomics Data<\/td><td>Carolin Walter, Sarah Sandmann, Ada Anike Pohlmann, Alina Sophie Disch, Kornelius Kerl and Julian Varghese<\/td><\/tr><tr><td>5089<\/td><td>P073-M<\/td><td>Computational analysis of differential splicing and transcript alternations in severe COVID-19 infection<\/td><td>Sunanda Biswas Mukherjee and Milana Frenkel-Morgenstern<\/td><\/tr><tr><td>7921<\/td><td>P074-M<\/td><td>Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome<\/td><td>Marc Horlacher, Svitlana Oleshko, Yue Hu, Giulia Cantini, Patrick Schinke, Mahsa Ghanbari, Ernesto Elorduy Vergara, Florian Bittner, Nikola Mueller, Uwe Ohler, Lambert Moyon and Annalisa Marsico<\/td><\/tr><tr><td>2063<\/td><td>P075-M<\/td><td>Computational method prioritising gene-specific cis-regulatory elements reveals new aspects of transcriptional regulation in B cells<\/td><td>Amber Emmett, Matthew Care, Amel Saadi, Gina Doody, Reuben Tooze and David Westhead<\/td><\/tr><tr><td>6206<\/td><td>P076-M<\/td><td>consICA: a package for reference-free deconvolution reveals oncogenic processes in \u201comics\u201d data and highlights the benefits of multimodal data analysis for patient stratification<\/td><td>Maryna Chepeleva, Tony Kaoma, Aliaksandra Kakoichankava, Yue Zhang, Reka Toth and Petr Nazarov<\/td><\/tr><tr><td>9701<\/td><td>P077-M<\/td><td>Context-Aware Transcript Discovery and Quantification from Long Read RNA-Seq data with Bambu<\/td><td>Ying Chen, Andre Sim, Yuk Kei Wan, Keith Yeo, Michael Love and Jonathan Goeke<\/td><\/tr><tr><td>9675<\/td><td>P078-M<\/td><td>Curare and GenExVis: A toolkit for analyzing and visualizing RNA-Seq data<\/td><td>Patrick Blumenkamp, Raphael M\u00fcller and Alexander Goesmann<\/td><\/tr><tr><td>5308<\/td><td>P079-M<\/td><td>De novo gene evolution in bacteria: a case study of taxonomically restricted genes in Bacillus<\/td><td>Wojciech Karlowski, Deepti Varshney and Andrzej Zielezinski<\/td><\/tr><tr><td>2017<\/td><td>P080-M<\/td><td>decoupleR: ensemble of computational methods to infer biological activities from omics data<\/td><td>Pau Badia i Mompel and Julio Saez-Rodriguez<\/td><\/tr><tr><td>2421<\/td><td>P081-M<\/td><td>Diana &#8211; ROOT: A categorization tool related to the Region Of Origin biotype.<\/td><td>Nikos Perdikopanis, Georgios Georgakilas and Artemis Hatzigeorgiou<\/td><\/tr><tr><td>8223<\/td><td>P082-M<\/td><td>Differential Abundance analysis of microbiome data: which tool and how to choose it?<\/td><td>Marco Cappellato, Giacomo Baruzzo and Barbara Di Camillo<\/td><\/tr><tr><td>6704<\/td><td>P083-M<\/td><td>Disentangling Cellular Heterogeneity with Multimodal single-cell Integration<\/td><td>Jules Samaran, Gabriel Peyr\u00e9 and Laura Cantini<\/td><\/tr><tr><td>4897<\/td><td>P084-M<\/td><td>Dissecting the impact of genetic variants on transcriptional and post-transcriptional gene regulation<\/td><td>Anneke Br\u00fcmmer and Sven Bergmann<\/td><\/tr><tr><td>4266<\/td><td>P085-M<\/td><td>Diving into tumor heterogeneity<\/td><td>Marina Mendiburu-Eli\u00e7abe, Adri\u00e1n Blanco-Gomez, Diego Alonso-Lopez, Roberto Corchado-Cobos, Natalia Garc\u00eda-Sancha, Sonia Castillo-Lluva, Andr\u00e9s Castellanos-Mart\u00edn, Mar\u00eda del Mar S\u00e1ez-Freire, Julie Milena Galvis-Jim\u00e9nez, Alejandro Jim\u00e9nez-Navas, Manuel Jes\u00fas P\u00e9rez-Baena, Asunci\u00f3n Garc\u00eda-S\u00e1nchez, Mar\u00eda Isidoro Mart\u00edn, Martin P\u00e9rez-Andr\u00e9s, Alberto Orfao, Jian-Hua Mao, Javier De Las Rivas and Jes\u00fas P\u00e9rez Losada<\/td><\/tr><tr><td>785<\/td><td>P086-M<\/td><td>EmbedPVP: Prioritizing causative variants by integrating functional embedding and biological annotations for genes<\/td><td>Azza Althagafi and Robert Hoehndorf<\/td><\/tr><tr><td>5199<\/td><td>P087-M<\/td><td>EmpiReS: Differential Analysis of Gene Expression and Alternative Splicing<\/td><td>Gergely Csaba, Evi Berchtold, Armin Hadziahmetovic, Markus Gruber, Constantin Ammar and Ralf Zimmer<\/td><\/tr><tr><td>776<\/td><td>P088-M<\/td><td>EvolclustDB: exploring eukaryotic gene clusters with evolutionary conserved synteny.<\/td><td>Uciel Chorostecki, Marina Marcet-Houben, Ismael Collado-Cala, Andr\u00e9s Garisoain-Zafra, Diego Fuentes Palacios and Toni Gabald\u00f3n<\/td><\/tr><tr><td>4617<\/td><td>P089-M<\/td><td>Exploring mRNA isoform diversity in mouse<\/td><td>Agata Muszy\u0144ska, Ryszard Przew\u0142ocki and Pawe\u0142 P. \u0141abaj<\/td><\/tr><tr><td>6340<\/td><td>P090-M<\/td><td>Exploring the functional landscape of soft tissue sarcoma<\/td><td>Miriam Pay\u00e1-Milans, Mar\u00eda Pe\u00f1a-Chilet, Carlos Loucera, Marina Esteban-Medina and Joaqu\u00edn Dopazo<\/td><\/tr><tr><td>8920<\/td><td>P091-M<\/td><td>GAZE: A single-cell gene regulatory inference framework from transcriptomics and epigenomics data<\/td><td>Shamim Ashrafiyan, Fatemeh Behjati Ardakani, Dennis Hecker and Marcel Schulz<\/td><\/tr><tr><td>6749<\/td><td>P092-M<\/td><td>Genetic determinants of blood transcript splicing and impact on molecular phenotypes in 4732 healthy individuals<\/td><td>Alex Tokolyi, Elodie Persyn, Katie Burnham, Artika Nath, Jonathan Marten, David Roberts, Emanuele Di Angelantonio, John Danesh, Adam Butterworth, Mike Inouye, Dirk Paul and Emma Davenport<\/td><\/tr><tr><td>4093<\/td><td>P093-M<\/td><td>Genome-wide high-resolution identification of regulatory small RNAs in bacteria based on hybrid transcriptome sequencing data<\/td><td>Muhammad Elhossary, Konrad F\u00f6rstner, Lauren Walling, Kai Papenfort and Gisela Storz<\/td><\/tr><tr><td>9501<\/td><td>P094-M<\/td><td>High-dimensional Differential Explorer<\/td><td>Felix Offensperger, Markus Joppich and Ralf Zimmer<\/td><\/tr><tr><td>6723<\/td><td>P095-M<\/td><td>Identification and characterization of aneuploid cells applied to 5q deleted Myelodysplastic Syndromes<\/td><td>Guillermo Serrano, Aintzane D\u00edaz, Nerea Berastegui, Marina Ainciburu, Sofia Huerga, Jos\u00e9 Mar\u00eda Lamo de Espinosa, Mikel San Juli\u00e1n, Pamela Acha, Tamara Jimenez, Antonieta Molero, Maria J. Montoro, Mar\u00eda D\u00edez-Campelo, David Valcarcel, Francesc Sole, Teresa Ezponda, Mikel Hernaez and Felipe Prosper<\/td><\/tr><tr><td>7881<\/td><td>P096-M<\/td><td>Identification of biomarkers associated with cisplatin resistance in testicular germ cell tumours<\/td><td>Dominik Hadzega, Xavier Tominisec Vandoren, Katarina Kalavska, Silvia Schmidtova, Lucia Kucerova, Michal Chovanec, Petra Nemcova, Gabriel Minarik, Lubos Klucar and Michal Mego<\/td><\/tr><tr><td>3222<\/td><td>P097-M<\/td><td>Identification of novel RNA Switches using inverse RNA folding<\/td><td>Sumit Mukherjee and Danny Barash<\/td><\/tr><tr><td>9605<\/td><td>P051-T<\/td><td>Improving genome annotations with RNA-seq data: a scalable and reproducible workflow for Transcripts And Genes Assembly, Deconvolution, Analysis (TAGADA).<\/td><td>Cyril Kurylo, Cervin Guyomar, Sarah Djebali and Sylvain Foissac<\/td><\/tr><tr><td>5166<\/td><td>P052-T<\/td><td>Inferring aberrant expression dynamics across early myeloid differentiation to discover potential therapeutic targets in myelodysplastic syndromes<\/td><td>Aintzane D\u00edaz-Mazkiaran, Jes\u00fas De la Fuente, Guillermo Serrano, Paula Garcia-Olloqui, Nerea Berastegui, Marina Ainciburu, Ana Alfonso, Amaia Vilas-Zornoza, Patxi San Martin, Jose Lamo de Espinosa, Mikel San-Julian, Pamela Acha, Francesc Sol\u00e9, Tamara Jimenez, F\u00e9lix L\u00f3pez, Mar\u00eda D\u00edez-Campelo, Antonieta Molero, Mar\u00eda Julia Montoro, David Valcarcel, Teresa Ezponda, Mikel Hernaez and Felipe Pr\u00f3sper<\/td><\/tr><tr><td>2516<\/td><td>P053-T<\/td><td>Influence of Topologically Associating Domains on gene expression variation<\/td><td>Patrycja Rosa and Aleksander Jankowski<\/td><\/tr><tr><td>3597<\/td><td>P054-T<\/td><td>Integrating multi-omics and biophysical data to explore cellular responses against phenolic compounds in yeast<\/td><td>Natalia Coutuoun\u00e9, Rafael Boni, Cleyton Biffe, Ingrid Barcelos, Silvana Rocco, George Jackson de Moraes Rocha and Leandro Vieira dos Santos<\/td><\/tr><tr><td>4222<\/td><td>P055-T<\/td><td>Investigating the Transcriptome of Adenomatous Colorectal Polyps in the Context of Metachronous Recurrence<\/td><td>Simon Fisher, Russell Hung, Ditte Andersen, Gerard Lynch, Noori Maka, Jennifer Hay, Jakub Jawny, William Sloan, Stephen McSorley, Joanne Edwards and Ian Poole<\/td><\/tr><tr><td>7490<\/td><td>P056-T<\/td><td>IsoAnnot: a pipeline for functional annotation of isoforms<\/td><td>Alessandra Mart\u00ednez Mart\u00edn, Francisco Jose Pardo-Palacios, Pedro Salguero, \u00c1ngeles Arzalluz-Luque, Lorena de la Fuente Lorente and Ana Conesa<\/td><\/tr><tr><td>6084<\/td><td>P057-T<\/td><td>K-nearest neighbour correction for confounding effects in gene expression measurements<\/td><td>Franco Simonetti, Macarena Alonso, Cristina Marino Buslje, Saikat Banerjee and Johannes Soeding<\/td><\/tr><tr><td>2598<\/td><td>P058-T<\/td><td>Lung tissue multi-layer network in Chronic Obstructive Pulmonary Disease<\/td><td>N\u00faria Olvera, Jon S\u00e1nchez, Iker N\u00fa\u00f1ez, Guillaume Noell, Sandra Casas, Alejandra Lopez, Angela Guirao, Rosalba Lepore, Davide Cirillo, \u00c0lvar Agust\u00ed, Alfonso Valencia and Rosa Faner<\/td><\/tr><tr><td>7319<\/td><td>P059-T<\/td><td>Machine leaning on whole blood RNAseq identifies interferon-regulated genes as key drivers in thrombotic primary Antiphospholipid syndrome<\/td><td>Kleio-Maria Verrou, Petros Sfikakis and Maria Tektonidou<\/td><\/tr><tr><td>6414<\/td><td>P060-T<\/td><td>Machine learning for improved immune cell type classification as a basis to better understand effects of cell type specific interferon stimulation<\/td><td>Bogac Aybey, Benedikt Brors, Sheng Zhao and Eike Staub<\/td><\/tr><tr><td>5385<\/td><td>P061-T<\/td><td>The landscape of expression and alternative splicing variation across human traits<\/td><td>Raquel Garcia-Perez, Jose-Miguel Ramirez and Marta Mele<\/td><\/tr><tr><td>249<\/td><td>P062-T<\/td><td>Macrophage subpopulations identification using single-cell RNA sequencing data<\/td><td>Merc\u00e8 Alemany-Chavarria, Marta Lalinde, Joaqu\u00edn Arribas and Lara Nonell<\/td><\/tr><tr><td>5511<\/td><td>P063-T<\/td><td>Molecular and functional atlas of sex-differences in multiple sclerosis subtypes analising single cell and single nucleus transcriptomic data<\/td><td>Irene Soler-S\u00e1ez, Zoraida Andreu, Jos\u00e9 Francisco Catal\u00e0-Senent, Rub\u00e9n Grillo-Risco, Adolfo L\u00f3pez-Cerd\u00e1n, Almudena Neva-Alejo, Borja G\u00f3mez, H\u00e9ctor Carceller, Mar\u00eda de la Iglesia-Vay\u00e1, Marta R. Hidalgo and Francisco Garc\u00eda-Garc\u00eda<\/td><\/tr><tr><td>2566<\/td><td>P064-T<\/td><td>Molecular mechanisms governing CAR-T cell response in MM patients at single cell level<\/td><td>Lorea Jordana, Guillermo Serrano, Mar\u00eda Erendira Calleja, Patxi San Mart\u00edn-\u00dariz, Amaia Vilas-Zornoza, Asier Ullate-Agote, Aintzane Zabaleta, Diego Alignani, Aina Oliver-Caldes, Marta Espa\u00f1ol-Rego, Mariona Pascal, Teresa Lozano, Bruno Paiva, Susana Inoges, Ascension Lopez-Diaz de Cerio, Juan Jose Lasarte, Carlos Fernadez de Larrea, Mikel Hernaez, Juan Roberto Rodriguez-Madoz and Felipe Prosper<\/td><\/tr><tr><td>7780<\/td><td>P065-T<\/td><td>NetRank Recovers Known Cancer Hallmark Genes as Universal Biomarker Signature for Cancer Outcome Prediction<\/td><td>Ali Al-Fatlawi and Michael Schroeder<\/td><\/tr><tr><td>2273<\/td><td>P066-T<\/td><td>New genes and splicing isoforms revealed with native RNA in fission yeast<\/td><td>Jos\u00e9 Carlos Monta\u00f1\u00e9s, M. Mar Alb\u00e0, Marta Huertas, Simone G. Moro, Williarm R. Blevins, Merc\u00e8 Carmona, Jos\u00e9 Ayte and Elena Hidalgo<\/td><\/tr><tr><td>8488<\/td><td>P067-T<\/td><td>Optimal Transport improves cell-cell similarity inference in single-cell omics data<\/td><td>Geert-Jan Huizing, Gabriel Peyre and Laura Cantini<\/td><\/tr><tr><td>2295<\/td><td>P068-T<\/td><td>Power analysis of cell-type deconvolution across human tissues<\/td><td>Anna Vathrakokoili Pournara, Zhichao Miao and Irene Papatheodorou<\/td><\/tr><tr><td>2797<\/td><td>P069-T<\/td><td>Predicting off-target effects of antisense oligomers targeting bacterial mRNAs with the MASON webserver<\/td><td>Jakob Jung, Linda Popella, Phuong Thao Do, Patrick Pfau, J\u00f6rg Vogel and Lars Barquist<\/td><\/tr><tr><td>9109<\/td><td>P070-T<\/td><td>Predicting Transcription Factors Biological Roles in P. vulgaris<\/td><td>Liudmyla Kondratova, Eduardo Vallejos and Ana Conesa<\/td><\/tr><tr><td>7406<\/td><td>P071-T<\/td><td>Rational design of a novel respiratory syncytial virus reporter of early events of its viral cycle<\/td><td>Marcio Andr\u00e9s De \u00c1vila, Jose Luis Villarreal Camacho, Christian Cadena, Leidy Hurtado G\u00f3mez, Laura Pi\u00f1eres Santos, Amner Mu\u00f1oz Acevedo and Homero San Juan Vergara<\/td><\/tr><tr><td>2065<\/td><td>P072-T<\/td><td>RBPNet: Predicting Protein-RNA Interaction via CLIP-Seq Sequence-to-Signal Learning<\/td><td>Marc Horlacher, Nils Wagner, Marco Salvatore, Julien Gagneur, Lambert Moyon, Ole Winther and Annalisa Marsico<\/td><\/tr><tr><td>3809<\/td><td>P073-T<\/td><td>ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments<\/td><td>Fayrouz Hammal, Benoit Ballester, Pierre De Langen, Fabrice Lopez and Aur\u00e9lie Bergon<\/td><\/tr><tr><td>256<\/td><td>P074-T<\/td><td>rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes<\/td><td>Muhammad Ammar Malik, Alexander Selvikv\u00e5g Lundervold and Tom Michoel<\/td><\/tr><tr><td>8576<\/td><td>P075-T<\/td><td>RNA-seq analysis: primary breast tumour and circulating tumour cells<\/td><td>Dominik Hadzega, Gabriel Minarik, Andrea Soltysova, Petra Nemcova, Katarina Kalavska, Marian Karaba, Juraj Benca, Tatiana Sedlackova, Daniel Pindak, Lubos Klucar and Michal Mego<\/td><\/tr><tr><td>6040<\/td><td>P076-T<\/td><td>Sex differences in the molecular basis of multiple sclerosis: meta-analysis of transcriptomic data<\/td><td>Jose Francisco Catal\u00e0-Senent, Zoraida Andreu, Marta R. Hidalgo, Roig Francisco Jos\u00e9, Natalia Yanguas-Cas\u00e1s, Almudena Neva-Alejo, Adolfo L\u00f3pez-Cerd\u00e1n, Irene Soler-S\u00e1ez, Mar\u00eda de la Iglesia-Vay\u00e1 and Francisco Garc\u00eda-Garc\u00eda<\/td><\/tr><tr><td>6670<\/td><td>P077-T<\/td><td>Shigella-type IpaH ubiquitin ligases in non-human-host enteroinvasive Escherichia<\/td><td>Olga Bochkareva, Natalia Dranenko and Maria Tutukina<\/td><\/tr><tr><td>3503<\/td><td>P078-T<\/td><td>SNEEP: SNP exploration and functional analysis using epigenomics data<\/td><td>Nina Baumgarten, Chaonan Zhu, Ting Yuan, Meiqian Wu, Minh Duc Pham, Despina Stefanoska, Thorsten Kessler, Stefanie Dimmeler, Jaya Krishnan and Marcel H. Schulz<\/td><\/tr><tr><td>5307<\/td><td>P079-T<\/td><td>Statistical test to detect equivalence between feature lists based on the Sorensen-Dice index and GO term enrichment<\/td><td>Pablo Flores, Jordi Oca\u00f1a Rebull, Miquel Salicr\u00fa Pages and Alex Sanchez<\/td><\/tr><tr><td>8741<\/td><td>P080-T<\/td><td>Studying the dynamics of relative RNA localization &#8211; From nucleus to the cytoplasm<\/td><td>Vasilis F. Ntasis and Roderic Guig\u00f3 Serra<\/td><\/tr><tr><td>7485<\/td><td>P081-T<\/td><td>T-cell receptors as biomarkers for early diagnosis of colorectal cancer in Lynch Syndrome<\/td><td>Maria S. Benitez-Cantos, Sonia Garcia-Rodriguez, Marta Cuadros, Carlos Cano, Antonio Poyatos-And\u00fajar, Carmen S\u00e1nchez-Toro, Pilar Carrasco-Salas, Ana M. Serrano-Mira, Carmelo Di\u00e9guez-Castillo, Ana Delgado-Maroto and Paul Lizardi<\/td><\/tr><tr><td>5828<\/td><td>P082-T<\/td><td>The adapted Activity-By-Contact model for enhancer-gene assignment and its application to single-cell data<\/td><td>Dennis Hecker, Fatemeh Behjati Ardakani and Marcel Schulz<\/td><\/tr><tr><td>2675<\/td><td>P083-T<\/td><td>The Enrichment of Genes Associated with T-cell Proliferation and Memory Formation of B-cell Co-stimulatory Domain Potentiate CD19CAR-T cell Functions<\/td><td>Socheatraksmey Ung, Jakrawadee Julamanee, Wannakorn Khopanlert, Kajornkiat Maneechai, Surasak Sangkhathat and Pongsakorn Choochuen<\/td><\/tr><tr><td>4499<\/td><td>P084-T<\/td><td>The landscape of expression and alternative splicing variation across human traits<\/td><td>Jos\u00e9 Miguel Ram\u00edrez Carde\u00f1osa, Raquel Garcia Perez and Marta Mele Messeguer<\/td><\/tr><tr><td>5863<\/td><td>P085-T<\/td><td>The least diverged orthologue conjecture<\/td><td>Alex Warwick Vesztrocy<\/td><\/tr><tr><td>2083<\/td><td>P086-T<\/td><td>The Multilayer Community Structure of Medulloblastoma<\/td><td>Iker N\u00fa\u00f1ez Carpintero, Marianyela Petrizzelli, Andrei Zinovyev, Davide Cirillo and Alfonso Valencia<\/td><\/tr><tr><td>1813<\/td><td>P087-T<\/td><td>topRegNet: an analysis workflow for detecting enriched regulatory elements in RNA-seq datasets<\/td><td>Anshupa Sahu, Sugirthan Sivalingam, Farhad Shakeri, Svetozar Nesic and Andreas Buness<\/td><\/tr><tr><td>4341<\/td><td>P088-T<\/td><td>Towards sex-specific polygenic risk scores<\/td><td>Mar\u00eda Morales Mart\u00ednez, Hira Shahid, Kathleen Imbach and Eduard Porta Pardo<\/td><\/tr><tr><td>884<\/td><td>P089-T<\/td><td>Transcription start site signal profiling improves transposable element expression analysis at loci level<\/td><td>Natalia Savytska, Peter Heutink and Vikas Bansal<\/td><\/tr><tr><td>1608<\/td><td>P090-T<\/td><td>TranSNPs: A class of functional SNPs affecting mRNA translation potential revealed by fraction-based allelic imbalance<\/td><td>Samuel Valentini, Caterina Marchioretti, Alessandra Bisio, Annalisa Rossi, Sara Zaccara, Meriem Hadjer Hamadou, Elisa Pettin\u00e0, Giacomo Fantoni, Alberto Inga and Alessandro Romanel<\/td><\/tr><tr><td>6238<\/td><td>P091-T<\/td><td>Using multi-omics to identify predictive markers of aggressive neuroendocrine cancer<\/td><td>Dimitria Brempou, Louise Izatt, Cynthia Andoniadou and Rebecca Oakey<\/td><\/tr><tr><td>9960<\/td><td>P092-T<\/td><td>Variability of nonsense-mediated mRNA decay (NMD) pathway efficiency in human cancers<\/td><td>Guillermo Palou M\u00e1rquez and Fran Supek<\/td><\/tr><tr><td>1583<\/td><td>P093-T<\/td><td>WASP &#8211; A versatile, web-accessible single cell RNA-seq processing platform<\/td><td>Andreas Hoek, Katharina Maibach, Ebru \u00d6zmen, Torsten Hain, Susanne Herold and Alexander Goesmann<\/td><\/tr><tr><td>274<\/td><td>P094-T<\/td><td>\u03ba-velo improves single-cell RNA-velocity estimation<\/td><td>Val\u00e9rie Marot-Lassauzaie, Brigitte Bouman, Fearghal Donaghy and Laleh Haghverdi<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-853365c\" data-block-id=\"853365c\"><style>.stk-853365c{margin-top:50px !important}.stk-853365c .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-64078c1\" data-block-id=\"64078c1\"><style>.stk-64078c1 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-64078c1 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-64078c1 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-64078c1 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-64078c1 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-64078c1 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-64078c1 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-eacaacb\" data-block-id=\"eacaacb\"><style>.stk-eacaacb .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-eacaacb .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-eacaacb .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-eacaacb .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-eacaacb .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-eacaacb .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-eacaacb .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-8d39392\" data-block-id=\"8d39392\"><style>.stk-8d39392 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-8d39392 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-8d39392 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-8d39392 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-8d39392 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-8d39392 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-8d39392 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-968e60f\" data-block-id=\"968e60f\"><style>.stk-968e60f .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-968e60f .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-968e60f .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-968e60f .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-968e60f .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-968e60f .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-968e60f .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-b92272f\" data-block-id=\"b92272f\"><style>.stk-b92272f .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-b92272f .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-b92272f .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-b92272f .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-b92272f .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-b92272f .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-b92272f .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-d194cf1\" data-block-id=\"d194cf1\"><style>.stk-d194cf1 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-d194cf1 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-d194cf1 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-d194cf1 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-d194cf1 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-d194cf1 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-d194cf1 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-34fa2fb\" data-block-id=\"34fa2fb\"><style>.stk-34fa2fb .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-34fa2fb .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-34fa2fb .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-34fa2fb .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-34fa2fb .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-34fa2fb .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-34fa2fb .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-ea607df\" data-block-id=\"ea607df\"><style>.stk-ea607df .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-ea607df .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-ea607df .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-ea607df .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-ea607df .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-ea607df .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-ea607df .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-d0f5355\" id=\"h-genomes\" data-block-id=\"d0f5355\"><style>.stk-d0f5355 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Genomes<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>628<\/td><td>P098-M<\/td><td>3D modeling of genome reorganization upon senescence<\/td><td>Vasiliki Varamogianni Mamatsi and Argyris Papantonis<\/td><\/tr><tr><td>6213<\/td><td>P099-M<\/td><td>A computational model of double strand breaks and repair explaining cut-and-paste structural variants<\/td><td>Bingxin Lu and Chris Barnes<\/td><\/tr><tr><td>5333<\/td><td>P100-M<\/td><td>A database of copy number variant frequencies in the Spanish population<\/td><td>Daniel L\u00f3pez-L\u00f3pez, Gema Roldan, Jose Luis Fernandez-Rueda, Rosario Carmona, Virginia Aquino, Maria Pe\u00f1a-Chillet, Ruben Garcia, Rocio Nu\u00f1ez, Anna Gonzalez, Guillermo Pita and Joaquin Dopazo<\/td><\/tr><tr><td>4794<\/td><td>P101-M<\/td><td>A phylum-wide genomic screen in cyanobacteria for RNA structure motifs adjacent to orthologues genes.<\/td><td>Adrian Geissler, Elena Carrasquer-\u00c1lvarez, Niels-Ulrik Frigaard, Jan Gorodkin and Stefan E. Seemann<\/td><\/tr><tr><td>8215<\/td><td>P102-M<\/td><td>A universal protein-coding gene finder<\/td><td>Ferriol Calvet, Jaume Reig, Emilio Righi, Francisco Camara and Roderic Guig\u00f3<\/td><\/tr><tr><td>2625<\/td><td>P103-M<\/td><td>Accurate de novo identification of biosynthetic gene clusters<\/td><td>Laura Carroll, Martin Larralde, Jonas Fleck, Ruby Ponnudurai, Alessio Milanese, Elisa Cappio and Georg Zeller<\/td><\/tr><tr><td>6008<\/td><td>P104-M<\/td><td>Aggregated genomic data as cohort-specific allelic frequencies can boost variants and genes prioritization in non-solved cases of inherited retinal dystrophies<\/td><td>Ionut Florin Iancu, Irene Perea-Romero, Gonzalo Nu\u00f1ez-Moreno, Lorena de la Fuente, Raquel Romero, Almudena \u00c1vila-Fernandez, Maria Jose Trujillo-Tiebas, Rosa Riveiro-\u00c1lvarez, Berta Almoguera, Inmaculada Mart\u00edn-M\u00e9rida, Marta Del Pozo-Valero, Alejandra Dami\u00e1n-Verde, Marta Cort\u00f3n, Carmen Ayuso and Pablo Minguez<\/td><\/tr><tr><td>3435<\/td><td>P105-M<\/td><td>An evaluation of pipelines for DNA variant detection can guide a reanalysis protocol to increase the diagnostic ratio of genetic diseases<\/td><td>Raquel Romero, Lorena de la Fuente, Marta Del Pozo-Valero, Rosa Riveiro-\u00c1lvarez, Mar\u00eda Jos\u00e9 Trujillo-Tiebas, Inmaculada Mart\u00edn-M\u00e9rida, Almudena \u00c1vila-Fern\u00e1ndez, Ionut-Florin Iancu, Irene Perea-Romero, Gonzalo N\u00fa\u00f1ez-Moreno, Alejandra Dami\u00e1n, Cristina Rodilla, Berta Almoguera, Marta Cort\u00f3n, Carmen Ayuso and Pablo M\u00ednguez<\/td><\/tr><tr><td>1333<\/td><td>P106-M<\/td><td>An Interactive Workflow for Exploratory Detection of Genomic Insertions on a Population Scale<\/td><td>Kedi Cao, Nourhan Elfaramawy, Matthias Weidlich and Birte Kehr<\/td><\/tr><tr><td>4581<\/td><td>P107-M<\/td><td>An Orthogonal Approach for Genome Assembly Curation: Examples on Vertebrate Genome Assemblies<\/td><td>Fernando Cruz, Luc\u00eda \u00c1lvarez-Gonz\u00e1lez, Rut Lara-Hern\u00e1ndez, J\u00e8ssica G\u00f3mez-Garrido, Margarida Barcelo-Serra, Laura Baldo, Aurora Ruiz-Herrera, Jos\u00e9 Antonio Godoy and Tyler Alioto<\/td><\/tr><tr><td>5908<\/td><td>P108-M<\/td><td>Analysis of new immune systems using Deep Learning<\/td><td>Sven Hauns, Omer Alkhnbashi and Rolf Backofen<\/td><\/tr><tr><td>3856<\/td><td>P109-M<\/td><td>Analysis of SNPs in E. Coli populations in murine gut metagenomes<\/td><td>Francisco Cerqueira, Jo\u00e3o Costa, Massimo Amicone and Isabel Gordo<\/td><\/tr><tr><td>8209<\/td><td>P110-M<\/td><td>Assessment of supervised methods for lncRNA function prediction from expression data<\/td><td>Fatemeh Behjati, Hicham Saddiki, Matthias S. Leisegang, Theresa Gimbel, Frederike Boos, Stefanie Dimmeler, Ilka Wittig, Reinier Boon, Ralf P. Brandes and Marcel H. Schulz<\/td><\/tr><tr><td>2824<\/td><td>P111-M<\/td><td>Assessment of the structural differences of the JHEH from closely related insects as potential targets for safe pesticide design<\/td><td>Weronika Bagrowska, Tomasz Skalski, Maria Bz\u00f3wka and Artur G\u00f3ra<\/td><\/tr><tr><td>8684<\/td><td>P112-M<\/td><td>Automating the genome assembly process with Snakemake<\/td><td>J\u00e8ssica G\u00f3mez-Garrido, Fernando Cruz, Marc Palmada-Flores, Laura Baldo and Tyler Alioto<\/td><\/tr><tr><td>5852<\/td><td>P113-M<\/td><td>Beacon Network goes v2<\/td><td>Dmitry Repchevsky, Sergi Aguil\u00f3-Castillo, Dominik Bruchner, Teemu Kataja, Ville Muilu, Juha T\u00f6rmroos, Babita Singh, Jordi Rambla, J. Dylan Spalding, Michael Baudis, Salvador Capella-Gutierrez and Josep Llu\u00eds Gelp\u00ed<\/td><\/tr><tr><td>5369<\/td><td>P114-M<\/td><td>Benchmarking and improving imputation approaches for recurrent inversions in the human genome<\/td><td>Illya Yakymenko, Jon Lerga-Jaso and Mario C\u00e1ceres<\/td><\/tr><tr><td>7102<\/td><td>P115-M<\/td><td>Cell type specific drug response prediction from single cell data<\/td><td>Nikoletta Katsaouni and Marcel Schulz<\/td><\/tr><tr><td>7904<\/td><td>P116-M<\/td><td>CESIM \u2013 A Simulator for Clonal Evolution<\/td><td>Sarah Sandmann, Silja Richter, Xiaoyi Jiang and Julian Varghese<\/td><\/tr><tr><td>3302<\/td><td>P117-M<\/td><td>Characterising human cell types using TF footprinting<\/td><td>Aybuge Altay, Yufei Zhang and Martin Vingron<\/td><\/tr><tr><td>3497<\/td><td>P118-M<\/td><td>Characterization of the role of regulatory variants for trait pleiotropy<\/td><td>Aitor Gonz\u00e1lez<\/td><\/tr><tr><td>6347<\/td><td>P119-M<\/td><td>CimpleG: Simple CpG methylation signatures<\/td><td>Tiago Mai\u00e9, Marco Schmidt, Wolfgang Wagner and Ivan G. Costa<\/td><\/tr><tr><td>5031<\/td><td>P120-M<\/td><td>CloneTracer enables the identification of healthy and leukemic cells from single-cell transcriptomic data<\/td><td>Sergi Beneyto-Calabuig, Anne Kathrin Merbach, Jonas Alexander Kniffka, Chelsea Szu-Tu, Magdalena Antes, Michael Scherer, Simon Raffel, Carsten M\u00fcller-Tidow and Lars Velten<\/td><\/tr><tr><td>2727<\/td><td>P121-M<\/td><td>Cluster-based conserved non-coding element (CNE) characterization<\/td><td>Silvia Fibi-Smetana and Leila Taher<\/td><\/tr><tr><td>9164<\/td><td>P122-M<\/td><td>CoLoRd: Compressing long reads<\/td><td>Marek Kokot, Adam Gudy\u015b, Heng Li and Sebastian Deorowicz<\/td><\/tr><tr><td>1403<\/td><td>P123-M<\/td><td>Combining Epigenome and Genetic Mutation Data to Study Disease-Relevant Cell Types and Gene Sets<\/td><td>Ahlam Mallak, Dennis Hecker and Marcel Schulz<\/td><\/tr><tr><td>8467<\/td><td>P124-M<\/td><td>Comparative Analysis of Long Versus Short-Read Sequencing Technologies in Terms of Structural Variants Inference for Trios<\/td><td>Sachin Gadakh, Mateusz Chili\u0144ski, Karolina Jodkowska, Jan Gawor and Dariusz Plewczynski<\/td><\/tr><tr><td>7503<\/td><td>P125-M<\/td><td>Comparison of Chromatin Contacts Detectability in Human ESC-H1 Mapped Using GAM or Hi-C<\/td><td>Teresa Szczepi\u0144ska, Christoph Thieme, Sachin Gadakh, Alexander Kukalev, Warren Winick-Ng, Rieke Kempfer, Thomas Sparks, Miao Yu, Bing Ren, Dariusz Plewczynski and Ana Pombo<\/td><\/tr><tr><td>4588<\/td><td>P126-M<\/td><td>Comprehensive analysis of genomic patterns in different types of dengue virus<\/td><td>Myeongji Cho, Xianglan Min and Hyeon S. Son<\/td><\/tr><tr><td>7652<\/td><td>P127-M<\/td><td>Containerised Pipelines for Sensitive Sequencing Data<\/td><td>Tina Visnovska, Sadia Saeed, Lars la Cour Poulsen, Torunn R\u00f8nningen, Mai Britt Dahl, Junbai Wang, Tom Mala, Jon A. Kristinsson, Jens Kristoffer Hertel, J\u00f8ran Hjelmes\u00e6th, Matthias Bl\u00fcher, Tone Gretland Valderhaug and Yvonne B\u00f6ttcher<\/td><\/tr><tr><td>2826<\/td><td>P128-M<\/td><td>Contaminant Detection using Differentiating k-mers<\/td><td>Alessia Petescia, Martina Nebohacova, Jozef Nosek, Brona Brejova and Tomas Vinar<\/td><\/tr><tr><td>6548<\/td><td>P129-M<\/td><td>Copy number-aware methylation deconvolution analysis of cancers from whole genome bisulfite sequencing data<\/td><td>Nana Mensah, Elizabeth Larose Cadieux, Tom Lesluyes, Jonas Demeulemeester and Peter Van Loo<\/td><\/tr><tr><td>2939<\/td><td>P130-M<\/td><td>Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis<\/td><td>Josephine Yates and Valentina Boeva<\/td><\/tr><tr><td>9088<\/td><td>P131-M<\/td><td>Detection and evaluation of variable number tandem repeats<\/td><td>Maryam Ghareghani, Hossein Moeinzadeh and Martin Vingron<\/td><\/tr><tr><td>6110<\/td><td>P132-M<\/td><td>Development of a new structural variant detection software based on graph clustering algorithms from long reads<\/td><td>Nicolas Gustavo Gaitan Gomez and Jorge Duitama<\/td><\/tr><tr><td>9259<\/td><td>P133-M<\/td><td>Differential methylation analysis signature evaluation using Hobotnica metric<\/td><td>Anna Budkina, Alexey Stupnikov and Yulia Medvedeva<\/td><\/tr><tr><td>997<\/td><td>P134-M<\/td><td>Discovering Significant Evolutionary Trajectories in Cancer Phylogenies<\/td><td>Leonardo Pellegrina and Fabio Vandin<\/td><\/tr><tr><td>4206<\/td><td>P135-M<\/td><td>DNA-DDA predicts genome wide 3D chromatin structure directly from the reference sequence<\/td><td>Xenia Lainscsek and Leila Taher<\/td><\/tr><tr><td>2804<\/td><td>P136-M<\/td><td>Evidence-driven annotation of the Trichechus manatus latirostris genome using long-reads<\/td><td>Alejandro Paniagua, Francisco J. Pardo-Palacios and Ana Conesa<\/td><\/tr><tr><td>1106<\/td><td>P137-M<\/td><td>FrameRate: predicting coding frames direct from unassembled DNA reads<\/td><td>Wang Liu-Wei, Robert Hoehndorf, Wayne Aubrey, Christopher Creevey, Amanda Clare and Nicholas Dimonaco<\/td><\/tr><tr><td>2935<\/td><td>P138-M<\/td><td>Genetic diversity in Amaranthaceae crops<\/td><td>Felix Leopold Wascher, Nancy Stralis-Pavese, Heinz Himmelbauer and Juliane C. Dohm<\/td><\/tr><tr><td>5847<\/td><td>P139-M<\/td><td>Genome sequencing and comparative genomic analysis of turmeric plant provide insights into adaptive evolution of its medicinal properties<\/td><td>Abhisek Chakraborty, Shruti Mahajan, Shubham K. Jaiswal and Vineet K. Sharma<\/td><\/tr><tr><td>9607<\/td><td>P140-M<\/td><td>Germline genetics correlates with aberrant signaling pathways in cancer<\/td><td>Davide Dalfovo, Riccardo Scandino, Marta Paoli, Samuel Valentini and Alessandro Romanel<\/td><\/tr><tr><td>4322<\/td><td>P141-M<\/td><td>GPU-Accelerated Pairwise Sequence Alignment using the Wavefront Algorithm<\/td><td>Quim Aguado-Puig, Santiago Marco-Sola, Juan Carlos Moure, Christos Matzoros, David Castells-Rufas, Antonio Espinosa and Miquel Moreto<\/td><\/tr><tr><td>6579<\/td><td>P142-M<\/td><td>GWAS of vessel diameter, number of bifurcations, and main temporal angles identifies genetic variants in OCA2, HERC2 and other genes to modulate these traits<\/td><td>Sofia Ortin Vela, Michael Johannes Beyeler, Mattia Tomasoni, Olga Trofimova, Florence Hoogewoud and Sven Bergmann<\/td><\/tr><tr><td>3623<\/td><td>P143-M<\/td><td>Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data<\/td><td>Rebecca Serra Mari, Sven Schrinner, Richard Finkers, Paul Arens, Maximilian H.-W. Schmidt, Bj\u00f6rn Usadel, Gunnar W. Klau and Tobias Marschall<\/td><\/tr><tr><td>8830<\/td><td>P144-M<\/td><td>Human glycosylation gene variants as possible contenders to explain differences in SARS-CoV-2 disease severity in Indian sub populations.<\/td><td>Bithika Chatterjee and Shekhar Mande<\/td><\/tr><tr><td>327<\/td><td>P145-M<\/td><td>Identification and characterization of the microbiome, resistome, and mobilome in the wastewater treatment plant<\/td><td>Stephanie Pillay, Ramin Shirali Hossein Zade and Thomas Abeel<\/td><\/tr><tr><td>2754<\/td><td>P146-M<\/td><td>Identification of epivariations in rare diseases from a single patient perspective.<\/td><td>Robin Grolaux, Alexis Hardy and Matthieu Defrance<\/td><\/tr><tr><td>9612<\/td><td>P147-M<\/td><td>Identification of genes under positive selection in E. coli: Focusing on antibiotic resistance<\/td><td>Negin Malekian Boroujeni<\/td><\/tr><tr><td>6453<\/td><td>P148-M<\/td><td>Identification of genome edited cells using CRISPRnano<\/td><td>Thach Nguyen, Haribaskar Ramachandran, Soraia Martins, Jean Krutmann and Andrea Rossi<\/td><\/tr><tr><td>7863<\/td><td>P149-M<\/td><td>Identification of regions with high evolutionary variability on the SARS-CoV-2 S1 and S2 surface glycoprotein.<\/td><td>Katrina Norwood, Alice McHardy, Susanne Reimering and Thorsten Klingen<\/td><\/tr><tr><td>1927<\/td><td>P150-M<\/td><td>Identification of viral miRNAs<\/td><td>Alexandra Schub\u00f6, Armin Hadziahmetovic, Leonie Pohl, Markus Joppich and Ralf Zimmer<\/td><\/tr><tr><td>2188<\/td><td>P151-M<\/td><td>Impacts of COVID-19 on the Microbiome: A Bioinformatics and Machine Learning Study<\/td><td>Bertalan Tak\u00e1cs, Zolt\u00e1n Gyuris, Lajos Pint\u00e9r, \u00c1d\u00e1m Visnyovszki, N\u00f3ra \u00c9va Nagy, M\u00e1rton Zsolt Enyedi, Edit Hajd\u00fa and Lajos Haracska<\/td><\/tr><tr><td>758<\/td><td>P152-M<\/td><td>Improving multiplicity assignments in de Bruijn graphs using Loopy Belief Propagation inference on Conditional Random Fields.<\/td><td>Aranka Steyaert, Pieter Audenaert and Jan Fostier<\/td><\/tr><tr><td>2284<\/td><td>P153-M<\/td><td>Inferring mutational signatures from distinct copy-number events<\/td><td>Tom L Kaufmann and Roland F Schwarz<\/td><\/tr><tr><td>4377<\/td><td>P154-M<\/td><td>Influence of motif interactions on post-hoc attribution methods in genomic CNNs<\/td><td>Marta S. Lemanczyk, Jakub M. Bartoszewicz and Bernhard Y. Renard<\/td><\/tr><tr><td>1536<\/td><td>P155-M<\/td><td>Interpretable deep learning for phage life cycle prediction<\/td><td>Melania Nowicka, Jakub M Bartoszewicz and Bernhard Y Renard<\/td><\/tr><tr><td>8586<\/td><td>P156-M<\/td><td>Intrinsic linking of chromatin in human cells<\/td><td>Maciej Borodzik, Micha\u0142 Denkiewicz, Krzysztof Spali\u0144ski, Kamila Winnicka, Sevastianos Korsak, Kaustav Sengupta, Marcin Pilipczuk, Micha\u0142 Pilipczuk, Yijun Ruan and Dariusz Plewczynski<\/td><\/tr><tr><td>3015<\/td><td>P157-M<\/td><td>JLOH: Extracting Loss of Heterozygosity Blocks from Short-Read Sequencing Data<\/td><td>Matteo Schiavinato<\/td><\/tr><tr><td>9113<\/td><td>P095-T<\/td><td>k-mer and GWAS approaches to identify host-specific genomic determinants in Klebsiella pneumoniae<\/td><td>Konstantinos A. Kyritsis, Georgios-Nikolaos Kartanos, Victoria Siarkou and Fotis Psomopoulos<\/td><\/tr><tr><td>6078<\/td><td>P096-T<\/td><td>Leveraging patient-level metatranscriptomics data and phase variation predictions to prioritize bacterial antigens<\/td><td>Bart Cuypers, Pieter Meysman, Alessandro Brozzi, Normand Blais, Christophe Lambert and Kris Laukens<\/td><\/tr><tr><td>1150<\/td><td>P097-T<\/td><td>LIVE-DREAM: Live analysis of NGS data using an optimized hierarchical inter-leaved Bloom Filter index<\/td><td>Ferdous Nasri, Tobias Loka and Bernhard Y Renard<\/td><\/tr><tr><td>9739<\/td><td>P098-T<\/td><td>Long non-coding RNAs and novel transcripts as the principal source of potential novel neoantigens in hepatocellular carcinoma<\/td><td>Marta E. Camarena, J\u00falia Perera-Bel and M. Mar Alb\u00e0<\/td><\/tr><tr><td>8956<\/td><td>P099-T<\/td><td>Looking at the overall picture: development of a metagenomic analyses pipeline for highly diverse microbial communities in heritage science<\/td><td>Monika Waldherr, Laura Rabbachin, Johannes Tichy, Guadalupe Pi\u00f1ar, Martin Ortbauer, Beate Sipek and Alexandra Graf<\/td><\/tr><tr><td>5102<\/td><td>P100-T<\/td><td>Lossless Approximate Pattern Matching on Pan-genome de Bruijn Graphs<\/td><td>Lore Depuydt, Luca Renders, Thomas Abeel and Jan Fostier<\/td><\/tr><tr><td>8600<\/td><td>P101-T<\/td><td>Metagenetics versus metagenomics, a dual approach to reach strain-level resolution for starter culture monitoring<\/td><td>Cristian D\u00edaz-Mu\u00f1oz, Hannes Decadt, Luc De Vuyst and Stefan Weckx<\/td><\/tr><tr><td>1314<\/td><td>P102-T<\/td><td>metagWGS: a workflow to analyse short and long HiFi metagenomic reads<\/td><td>Joanna Fourquet, Jean Mainguy, Ma\u00efna Vienne, C\u00e9line Noirot, Vincent Darbot, Pierre Martin, Olivier Bouchez, Adrien Castinel, Sylvie Combes, Carole Iampietro, Christine Gaspin, Denis Milan, C\u00e9cile Donnadieu, Geraldine Pascal and Claire Hoede<\/td><\/tr><tr><td>1769<\/td><td>P103-T<\/td><td>MetaProFi: An ultrafast chunked Bloom filter for storing and querying protein and nucleotide sequence data for accurate identification of functionally relevant genetic variants<\/td><td>Sanjay Kumar Srikakulam, Sebastian Keller, Fawaz Dabbaghie, Robert Bals and Olga Kalinina<\/td><\/tr><tr><td>5368<\/td><td>P104-T<\/td><td>Modeling dynamic interactions within human gut microbiome using statistical approach<\/td><td>Zuzanna Karwowska, Marcin Mo\u017cejko, Pawe\u0142 Szczerbiak, Ewa Szczurek and Tomasz Ko\u015bci\u00f3\u0142ek<\/td><\/tr><tr><td>4426<\/td><td>P105-T<\/td><td>Multi-scale phase separation by explosive percolation with single chromatin loop resolution<\/td><td>Kaustav Sengupta, Micha\u0142 Denkiewicz, Mateusz Chili\u0144ski, Sevastianos Korsak, Teresa Szczepinska, Ayatullah Faruk Mollah, Raissa D&#8217;Souza, Yijun Ruan and Dariusz Plewczynski<\/td><\/tr><tr><td>8524<\/td><td>P106-T<\/td><td>Mutation Clonality, Neoantigens, and Immune Biomarkers relate to Immunotherapy Response in Bladder Cancer patients<\/td><td>Lilian Marie Boll, J\u00falia Perera-Bel, Oriol Arp\u00ed, Ana Rovira, N\u00faria Juanpere Rodero, Silvia Hern\u00e1ndez-Llodr\u00e0, Josep Lloreta, Alejo Rodriguez-Vida, M. Mar Alb\u00e0 and Joaquim Bellmunt<\/td><\/tr><tr><td>7537<\/td><td>P107-T<\/td><td>Mutational signatures are markers of drug sensitivity of cancer cells<\/td><td>Fran Supek, Jurica Levati\u0107, Marina Salvadores and Francisco Fuster-Tormo<\/td><\/tr><tr><td>1373<\/td><td>P108-T<\/td><td>NETWORK ANALYSIS OF MULTI-OMICS MICROBIOME DATA TO IDENTIFY KEYSTONE UNKNOWN TAXA<\/td><td>Roc\u00edo Amor\u00edn de Heged\u00fcs, Ana Conesa and Jamie Foster<\/td><\/tr><tr><td>1715<\/td><td>P109-T<\/td><td>NGSEP 4: EFFICIENT AND ACCURATE IDENTIFICATION OF ORTHOGROUPS AND WHOLE-GENOME ALIGNMENT<\/td><td>Laura Natalia Gonz\u00e1lez Garc\u00eda, Daniel Tello, Juan Camilo Zuluaga-Monares, Ricardo Angel, Daniel Mahecha, Nicolas Cardozo, Camilo Escobar, Jorge Gomez, Mario Linares-Vasquez and Jorge Duitama<\/td><\/tr><tr><td>6198<\/td><td>P110-T<\/td><td>OMArk: Quality assessment of protein-coding gene repertoires<\/td><td>Yannis Nevers, Victor Rossier and Christophe Dessimoz<\/td><\/tr><tr><td>9432<\/td><td>P111-T<\/td><td>Omics approaches and artificial intelligence strategies applied to industrial Saccharomyces cerevisiae yeasts for corn and second-generation ethanol production processes<\/td><td>Marcelo Falsarella Carazzolle, Beatriz Vargas, Larissa Escalfi Tristao, Thais Oliveira Secches, Jade Ribeiro dos Santos, Juliana Jose, Fellipe da Silveira Bezerra Mello and Gon\u00e7alo Amarante Guimar\u00e3es Pereira<\/td><\/tr><tr><td>3332<\/td><td>P112-T<\/td><td>PerSVade: Personalized Structural Variation detection in your species of interest<\/td><td>Miquel \u00c0ngel Schikora Tamarit and Toni Gabald\u00f3n<\/td><\/tr><tr><td>6507<\/td><td>P113-T<\/td><td>PhyloCloud: an online platform for making sense of phylogenomic data<\/td><td>Ziqi Deng, Jorge Botas, Carlos P Cantalapiedra, Ana Hern\u00e1ndez-Plaza, Jordi Burguet-Castell and Jaime Huerta-Cepas<\/td><\/tr><tr><td>8677<\/td><td>P114-T<\/td><td>PhylomeDB v5: An updated site to browse and mine genome-wide catalogs of gene phylogenies<\/td><td>Diego Fuentes Palacios, Manu Molina, Uciel Chorostecki, Salvador Capella-Guti\u00e9rrez, Marina Marcet-Houben and Toni Gabald\u00f3n<\/td><\/tr><tr><td>5259<\/td><td>P115-T<\/td><td>Predicting Virulence of Listeria Monocytogenes using Whole Genome Sequencing and Machine Learning<\/td><td>Alexander Gmeiner, Patrick Murigu Kamau Njage, Lisbeth Truelstrup Hansen and Pimlapas Leekitcharoenphon<\/td><\/tr><tr><td>9313<\/td><td>P116-T<\/td><td>Prevalence and Specificity of Chemoreceptor Profiles in Plant-Associated Bacteria<\/td><td>Claudia Sanchis-L\u00f3pez, Jean Paul Cerna-Vargas, Saray Santamar\u00eda-Hernando, Cayo Ramos, Tino Krell, Pablo Rodr\u00edguez-Palenzuela, Emilia L\u00f3pez-Solanilla, Jaime Huerta and Jos\u00e9 J. Rodr\u00edguez-Herva<\/td><\/tr><tr><td>8005<\/td><td>P117-T<\/td><td>Proton and alpha radiation-induced mutational profiles in human cells.<\/td><td>Tiffany Delhomme, Manuela Buonanno, Grilj Veljko, Josep Biayna and Fran Supek<\/td><\/tr><tr><td>5346<\/td><td>P118-T<\/td><td>Quantifying microbial dark matter and its impact on metagenomic analyses<\/td><td>Elizabeth Yuu, Vitor Piro and Bernhard Renard<\/td><\/tr><tr><td>7040<\/td><td>P119-T<\/td><td>Read-level GC bias correction for improved cell-free DNA signal processing<\/td><td>Sebastian R\u00f6ner, Benjamin Spiegl, Michael R. Speicher and Martin Kircher<\/td><\/tr><tr><td>1619<\/td><td>P120-T<\/td><td>Recurrent positive selection of lipid trafficking genes in Clupeiformes<\/td><td>Jorge Langa, Yuri Rueda, Aitor Albaina, Martin Huret, Darrell Conklin and Andone Estonba<\/td><\/tr><tr><td>3783<\/td><td>P121-T<\/td><td>Redefining Promoter DNA Methylation Change in Cancer<\/td><td>Richard Heery and Martin Schaefer<\/td><\/tr><tr><td>5450<\/td><td>P122-T<\/td><td>Relation between genome mutability, variant pathogenicity and vertical ionization potential of nucleobase motifs<\/td><td>Cyril Karamaoun, Pauline Hermans, Fabrizio Pucci and Marianne Rooman<\/td><\/tr><tr><td>5615<\/td><td>P123-T<\/td><td>Resolution of deep nodes and new solid backbone phylogeny in Ophioglossaceae ferns<\/td><td>Darina Koub\u00ednov\u00e1, Li-Yaung Kuo and Jason Grant<\/td><\/tr><tr><td>6082<\/td><td>P124-T<\/td><td>Sample demultiplexing and doublets removal from single-nuclei RNA sequencing data<\/td><td>Kwong Leong Wong, Lena Jassowicz, Peter Lichter, Christel Herold-Mende, Martina Seiffert and Marc Zapatka<\/td><\/tr><tr><td>1667<\/td><td>P125-T<\/td><td>scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells<\/td><td>Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten and Renee Beekman<\/td><\/tr><tr><td>8914<\/td><td>P126-T<\/td><td>Shared genetic architecture between tobacco smoking and iron concentration in the brain\u2019s dorsal striatum<\/td><td>Olga Trofimova and Sven Bergmann<\/td><\/tr><tr><td>2410<\/td><td>P127-T<\/td><td>Single-cell guided deconvolution of bulk AML transcriptomics recapitulates FAB landscape and CD14+ Monocyte percentage predicts Venetoclax resistance<\/td><td>Emin Onur Karakaslar, Jeppe Severens, Elena Sanchez Lopez, Peter van Balen, Heendrik Veelken, Marcel Jt Reinders, Marieke Griffioen and Erik van den Akker<\/td><\/tr><tr><td>6762<\/td><td>P128-T<\/td><td>Single-cell resolution unravels spatial alterations in metabolism, transcriptome and epigenome of ageing liver<\/td><td>Chrysa Nikopoulou, Niklas Kleinenkuhnen, Swati Parekh, Tonantzi Sandoval, Farina Schneider, Patrick Giavalisco, Mihaela Bozukova, Anna Juliane Vesting, Janine Altm\u00fcller, Thomas Wunderlich, Vangelis Kondylis, Achim Tresch and Peter Tessarz<\/td><\/tr><tr><td>638<\/td><td>P129-T<\/td><td>SonicParanoid enhanced by machine learning allows fast de novo orthology inference of huge MAG datasets<\/td><td>Salvatore Cosentino and Wataru Iwasaki<\/td><\/tr><tr><td>7525<\/td><td>P130-T<\/td><td>Sounds trivial &#8211; but it&#8217;s not! Automatic reference detection and web service independent reconstruction of influenza A and B genomes<\/td><td>Katja Winter, Oliver Drechsel, Marianne Wedde, Ralf D\u00fcrrwald, Thorsten Wolff and Stephan Fuchs<\/td><\/tr><tr><td>902<\/td><td>P131-T<\/td><td>Statistical and data mining analysis of stop codon triplets in introns in view of the stop-to-stop ORF definition<\/td><td>Valentin Wesp and Stefan Schuster<\/td><\/tr><tr><td>6709<\/td><td>P132-T<\/td><td>Strengths and weaknesses of metabarcoding long read.<\/td><td>Jean Mainguy, Adrien Castinel, Olivier Bouchez, Sylvie Combes, Carole Iampietro, Christine Gaspin, Denis Milan, C\u00e9cile Donnadieu, Claire Hoede and Geraldine Pascal<\/td><\/tr><tr><td>7488<\/td><td>P133-T<\/td><td>Structural comparison of chromatin interaction networks generated from Hi-C data<\/td><td>Gatis Melkus, Lelde Lace, Peteris Rucevskis, Sandra Silina, Andrejs Sizovs, Edgars Celms and Juris Viksna<\/td><\/tr><tr><td>4984<\/td><td>P134-T<\/td><td>Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer data<\/td><td>Riccardo Scandino, Federico Calabrese and Alessandro Romanel<\/td><\/tr><tr><td>5987<\/td><td>P135-T<\/td><td>Taking the prediction of pathogenic variant-combinations to the next level with VarCoPP2.0<\/td><td>Nassim Versbraegen, Barbara Gravel, Charlotte Nachtegael, Alexandre Renaux, Emma Verkinderen, Ann Now\u00e9, Tom Lenaerts and Sofia Papadimitriou<\/td><\/tr><tr><td>3491<\/td><td>P136-T<\/td><td>Target-Oriented miRNA Discovery (TOMiD) Analysis of qCLASH Ribonomics Experiments<\/td><td>Daniel Stribling, Nicholas Hiers, Mingyi Xie and Rolf Renne<\/td><\/tr><tr><td>6989<\/td><td>P137-T<\/td><td>The additive effects of Next Generation Sequencing error sources on the quality of de novo genome assembly<\/td><td>Alex V\u00e1radi, Zolt\u00e1n R\u00e1dai, Nikoletta A Nagy, P\u00e9ter Tak\u00e1cs, G\u00e1bor Kardos and Levente Laczk\u00f3<\/td><\/tr><tr><td>4924<\/td><td>P138-T<\/td><td>The genome of Belgium: whole genome sequencing of the Belgian population to enable public health genomics<\/td><td>Thomas Delcourt, Charlotte De Vogelaere, Emilie Cau\u00ebt, Nina Van Goethem, Johan Van der Heyden, Stefaan Demarest, Karin De Ridder, Nancy Roosens, Marc Van Den Bulcke and Kevin Vanneste<\/td><\/tr><tr><td>7141<\/td><td>P139-T<\/td><td>The Spatial Organization Of Enhancers Around Promoter Regions Within Chromatin Contact Domains For Selected Human Cell Lines: Structural Regulatory Landscape<\/td><td>Abhishek Agarwal and Dariusz Plewczy\u0144ski<\/td><\/tr><tr><td>9193<\/td><td>P140-T<\/td><td>Towards an atlas of copy-number conditional selection on somatic mutations in cancer driver genes<\/td><td>Elizaveta Besedina and Fran Supek<\/td><\/tr><tr><td>7646<\/td><td>P141-T<\/td><td>TP53-dependent toxicity of CRISPR\/Cas9 cuts is differential across genomic loci and can confound genetic screening<\/td><td>Miguel M \u00c1lvarez, Josep Biayna and Fran Supek<\/td><\/tr><tr><td>7435<\/td><td>P142-T<\/td><td>Training DeepSignal models to call CpG methylation in pig and quail ONT reads<\/td><td>Paul Terzian, C\u00e9line Vandecasteele, Christine Gaspin, C\u00e9cile Donnadieu, Denis Milan, R\u00e9mi-F\u00e9lix Serre and Christophe Klopp<\/td><\/tr><tr><td>707<\/td><td>P143-T<\/td><td>Transformer Language Models for Genomic Sequences<\/td><td>Vlastimil Martinek, David Cechak, Petr Simecek and Panagiotis Alexiou<\/td><\/tr><tr><td>5181<\/td><td>P144-T<\/td><td>Transgenerational epigenetics in quail: whole genome DNA methylation analysis<\/td><td>Chlo\u00e9 Cerutti, Sophie Leroux, Paul Terzian, David Gourichon, Frederique Pitel and Guillaume Devailly<\/td><\/tr><tr><td>3093<\/td><td>P145-T<\/td><td>Unbiased discovery of diversity-generating mechanisms and mobile genetic elements<\/td><td>Jordi Abante and Julia Salzman<\/td><\/tr><tr><td>4973<\/td><td>P146-T<\/td><td>Uncovering signatures of mutational processes in SARS-CoV-2<\/td><td>Kieran Lamb<\/td><\/tr><tr><td>795<\/td><td>P147-T<\/td><td>Untangling Costa Rican cocoa bean fermentation processes using a combined shotgun metagenomics, metatranscriptomics, and meta-metabolomics approach<\/td><td>Stefan Weckx, Marko Verce and Luc De Vuyst<\/td><\/tr><tr><td>3384<\/td><td>P148-T<\/td><td>Unveiling epigenetic profiles of transposable elements in ChIP-seq data using T3E<\/td><td>Michelle Almeida da Paz and Leila Taher<\/td><\/tr><tr><td>4624<\/td><td>P149-T<\/td><td>Uplifting trimAl for handling thousands of sequences<\/td><td>Nicol\u00e1s D\u00edaz Roussel and Salvador Capella Guti\u00e9rrez<\/td><\/tr><tr><td>5775<\/td><td>P150-T<\/td><td>Using AlphaFold2-generated structural information to improve detection of evolutionary adaptations in proteins<\/td><td>Sophie-Luise Heidig, Ravy Leon Foun Lin, Danny Ionescu, Jean-Fran\u00e7ois Flot and Wim Vranken<\/td><\/tr><tr><td>7600<\/td><td>P151-T<\/td><td>Variable DNA methylation underlies mutation rate variability at the mesoscale in human somatic cells<\/td><td>David Mas-Ponte and Fran Supek<\/td><\/tr><tr><td>3965<\/td><td>P152-T<\/td><td>VARIANT PRIORITIZATION IN PLASMA WHOLE-EXOME SEQUENCING FOR THE IDENTIFICATION OF POTENTIAL THERAPEUTIC TARGETS IN RELAPSING COLON CANCER PATIENTS<\/td><td>Jorge Mart\u00edn-Arana, Francisco Gimeno-Valiente, Roberto T\u00e9bar-Mart\u00ednez, Blanca Garc\u00eda-Mic\u00f3, Valentina Gambardella, Marisol Huerta, Carolina Mart\u00ednez-Ciarpaglini, Juan Antonio Carbonell-Asins, Manuel Cabeza-Segura, Jos\u00e9 Mart\u00edn-Ar\u00e9valo, David Casado, Vicente Pla, Leticia P\u00e9rez, Pilar Rentero-Garrido, Sheila Z\u00fa\u00f1iga-Trejos, Susana Rosell\u00f3, Tania Fleitas, Josefa Castillo, Desamparados Roda, Andr\u00e9s Cervantes and Noelia Tarazona<\/td><\/tr><tr><td>9752<\/td><td>P153-T<\/td><td>Vessel type-specific GWAS of Retinal Vessel Tortuosity Identifies 173 Novel Loci Revealing Genes and Pathways Associated with Vascular Pathomechanisms and Diseases<\/td><td>Michael Beyeler, Sofia Ortin Vela, Mattia Tomasoni and Sven Bergmann<\/td><\/tr><tr><td>2212<\/td><td>P154-T<\/td><td>What is the reality? \u2013 Influence of the sequencing technology and the approach on microbial community composition estimation<\/td><td>Dedan Githae, Agata Jarosz, Kinga Herda, Kamila Marsza\u0142ek, Wojciech Branicki and Pawe\u0142 \u0141abaj<\/td><\/tr><tr><td>1671<\/td><td>P155-T<\/td><td>Whole genome of a biparental beetle species, Anoplotrupes stercorosus<\/td><td>Nikoletta A Nagy, Levente Laczk\u00f3 and Zolt\u00e1n Barta<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-b628f36\" data-block-id=\"b628f36\"><style>.stk-b628f36{margin-top:50px !important}.stk-b628f36 .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-6eae5fe\" data-block-id=\"6eae5fe\"><style>.stk-6eae5fe .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-6eae5fe .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-6eae5fe .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-6eae5fe .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-6eae5fe .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-6eae5fe .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-6eae5fe .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-f51834c\" data-block-id=\"f51834c\"><style>.stk-f51834c .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-f51834c .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-f51834c .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-f51834c .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-f51834c .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-f51834c .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-f51834c .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-e0ff84e\" data-block-id=\"e0ff84e\"><style>.stk-e0ff84e .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-e0ff84e .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-e0ff84e .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-e0ff84e .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-e0ff84e .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-e0ff84e .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-e0ff84e .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-70fe11a\" data-block-id=\"70fe11a\"><style>.stk-70fe11a .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-70fe11a .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-70fe11a .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-70fe11a .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-70fe11a .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-70fe11a .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-70fe11a .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-dab5086\" data-block-id=\"dab5086\"><style>.stk-dab5086 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-dab5086 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-dab5086 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-dab5086 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-dab5086 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-dab5086 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-dab5086 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-8c78bbc\" data-block-id=\"8c78bbc\"><style>.stk-8c78bbc .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-8c78bbc .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-8c78bbc .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-8c78bbc .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-8c78bbc .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-8c78bbc .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-8c78bbc .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-3319595\" data-block-id=\"3319595\"><style>.stk-3319595 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-3319595 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-3319595 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-3319595 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-3319595 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-3319595 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-3319595 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-8f3eb05\" data-block-id=\"8f3eb05\"><style>.stk-8f3eb05 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-8f3eb05 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-8f3eb05 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-8f3eb05 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-8f3eb05 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-8f3eb05 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-8f3eb05 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-06ccba7\" id=\"h-proteins\" data-block-id=\"06ccba7\"><style>.stk-06ccba7 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Proteins<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>6465<\/td><td>P158-M<\/td><td>3DBionotes COVID-19 Structural Hub: a central resource for validation information and refined models<\/td><td>Jose Ramon Macias Gonzalez, Carolina Simon Guerrero, Erney Ram\u00edrez Aportela, Jose Luis Vilas Prieto, Marta Martinez Gonzalez, Carlos Oscar Sanchez Sorzano and Jose Maria Carazo<\/td><\/tr><tr><td>5334<\/td><td>P159-M<\/td><td>A graph based method for identifying and clustering short tandem repeats<\/td><td>Patryk Jarnot, Joanna Ziemska-Legi\u0119cka, Marcin Grynberg, Aleksandra Gruca and Vasilis Promponas<\/td><\/tr><tr><td>8454<\/td><td>P160-M<\/td><td>A graph-based algorithm for detecting rigid domains in protein structures<\/td><td>Linh Dang, Thach Nguyen and Michael Habeck<\/td><\/tr><tr><td>3233<\/td><td>P161-M<\/td><td>Alternative to combat superbugs \u2013 dynamic determinants of quorum quenching enzymes and their engineering towards efficient antibacterial potency<\/td><td>Bartlomiej Surpeta, Michal Grulich, Andrea Palyzov\u00e1, Helena Mare\u0161ov\u00e1 and Jan Brezovsky<\/td><\/tr><tr><td>6439<\/td><td>P162-M<\/td><td>AmyloGraph: A comprehensive database of amyloid-amyloid interactions<\/td><td>Michal Burdukiewicz, Dominik Rafacz, Agnieszka Barbach, Katarzyna Hubicka, Laura B\u0105ka\u0142a, Anna Lassota, Jakub Stecko, Natalia Szyma\u0144ska, Jakub Wojciechowski, Dominika Kozakiewicz, Natalia Szulc, Jaros\u0142aw Chilimoniuk, Izabela J\u0119\u015bkowiak, Marlena G\u0105sior-G\u0142ogowska and Malgorzata Kotulska<\/td><\/tr><tr><td>7693<\/td><td>P163-M<\/td><td>Analysis of fragment screening datasets in context with Human genetic variation<\/td><td>Javier S\u00e1nchez Utg\u00e9s, Callum Ives, Stuart MacGowan and Geoff Barton<\/td><\/tr><tr><td>8789<\/td><td>P164-M<\/td><td>Annotating the regeneration transcriptome of Cloeon dipterum.<\/td><td>Patricia Medina-Burgos, Israel Barrios-N\u00fa\u00f1ez, Fernando Casares and Ana Rojas<\/td><\/tr><tr><td>8539<\/td><td>P165-M<\/td><td>Annotation of biologically relevant ligands in UniProtKB using ChEBI<\/td><td>Elisabeth Coudert, Sebastien Gehant, Edouard de Castro, Monica Pozzato, Christian Sigrist, Delphine Baratin, Teresa Neto, Nicole Redaschi and Alan Bridge<\/td><\/tr><tr><td>9620<\/td><td>P166-M<\/td><td>APPRIS Principal Isoforms and MANE Select Transcripts Define Reference Splice Variants<\/td><td>Fernando Pozo, Laura Martinez Gomez, Jose Manuel Rodriguez, Jes\u00fas V\u00e1zquez and Michael Tress<\/td><\/tr><tr><td>7552<\/td><td>P167-M<\/td><td>ATHENA: Analysis of Tumor Heterogeneity from Spatial Omics Measurements<\/td><td>Adriano Martinelli, Pushpak Pati and Maria Anna Rapsomaniki<\/td><\/tr><tr><td>5457<\/td><td>P168-M<\/td><td>ATMision: a web portal for the in silico annotation of ATM missense variants beyond pathogenicity predictions<\/td><td>Nat\u00e0lia Padilla Sirera, Luz Marina Porras, Alejandro Moles-Fernandez, Lidia Feliubadal\u00f3, Marta Santamari\u00f1a-Pena, Alysson T. S\u00e1nchez, Anael L\u00f3pez-Novo, Ana Blanco, Miguel de la Hoya, Ignacio J. Molina, Ana Osorio, Marta Pineda, Daniel Rueda, Clara Ruiz-Ponte, Ana Vega, Conxi L\u00e1zaro, Orland D\u00edez, Sara Guti\u00e9rrez-Enr\u00edquez and Xavier de la Cruz<\/td><\/tr><tr><td>3336<\/td><td>P169-M<\/td><td>Automated System for Mechanistic Analysis and Interpretation of Genetic Variants<\/td><td>Ana C. Gonz\u00e1lez-\u00c1lvarez, Francisco J. Guzm\u00e1n-Vega, Kelly J. Cardona-Londo\u00f1o, Karla A. Pe\u00f1a-Guerra and Stefan T. Arold<\/td><\/tr><tr><td>1421<\/td><td>P170-M<\/td><td>Benchmarking of current conformational B-cell epitope prediction methods<\/td><td>Gabriel Cia, Fabrizio Pucci and Marianne Rooman<\/td><\/tr><tr><td>4693<\/td><td>P171-M<\/td><td>Biases and generalizability in predictions of protein-protein binding affinity changes upon mutations<\/td><td>Matsvei Tsishyn, Marianne Rooman and Fabrizio Pucci<\/td><\/tr><tr><td>7589<\/td><td>P172-M<\/td><td>CanProSite: Predicting potential residues associated with lung cancer using deep neural network<\/td><td>Medha Pandey and M. Michael Gromiha<\/td><\/tr><tr><td>3366<\/td><td>P173-M<\/td><td>Characterization of rare and novel AlphaFold structural space<\/td><td>Janani Durairaj, Mehmet Akdel, Pedro Beltr\u00e3o and Torsten Schwede<\/td><\/tr><tr><td>1310<\/td><td>P174-M<\/td><td>Characterizing and explaining impact of disease-associated mutations in proteins without known structures or structural homologues<\/td><td>Neeladri Sen, Ivan Anishchanka, Nicola Bordin, Ian Sillitoe, Sameer Velankar, David Baker and Christine Orengo<\/td><\/tr><tr><td>6984<\/td><td>P175-M<\/td><td>COCOMAPS-2: an improved web tool for characterizing the interface of protein-protein and protein-nucleic acids complexes<\/td><td>Tiziana Ricciardelli, Mohit Chawla, Luigi Cavallo and Romina Oliva<\/td><\/tr><tr><td>2713<\/td><td>P176-M<\/td><td>Comparative clustering of eukaryote complexomes identifies novel taxon-specific protein complexes and interactors<\/td><td>Joeri van Strien, Felix Evers, Madhurya Lutikurti, Alfredo Cabrera Orefice, Ulrich Brandt, Taco W.A. Kooij and Martijn Huynen<\/td><\/tr><tr><td>7873<\/td><td>P177-M<\/td><td>Computational approach for the recognition of small molecule inhibitors for Toll-like receptor<\/td><td>Shailya Verma and Ramanathan Sowdhamini<\/td><\/tr><tr><td>2217<\/td><td>P178-M<\/td><td>Computational approach to identify multifunction by metamorphism in proteins<\/td><td>Israel Barrios N\u00fa\u00f1ez and Ana Rojas M.<\/td><\/tr><tr><td>5151<\/td><td>P179-M<\/td><td>Computational function prediction in UniProt &amp; AI\/ML community engagement<\/td><td>Vishal Joshi, Hermann Zellner and Maria Martin<\/td><\/tr><tr><td>2095<\/td><td>P180-M<\/td><td>Computational prediction of epitope-specific paratopes using convolutional neural networks<\/td><td>Dong Li, Marianne Rooman and Fabrizio Pucci<\/td><\/tr><tr><td>8237<\/td><td>P181-M<\/td><td>Conformine, a predictor of protein Conformational Variability from amino acid sequence<\/td><td>Jose Gavalda-Garcia and Wim Vranken<\/td><\/tr><tr><td>8964<\/td><td>P182-M<\/td><td>Conservation and evolution of Roquin-1 binding sites of known and novel targets in the T cell transcriptome<\/td><td>Giulia Cantini, Taku Ito-Kureha, Elaine H. Wong, Gesine Behrens, Lambert Moyon, Annalisa Marsico and Vigo Heissmeyer<\/td><\/tr><tr><td>3698<\/td><td>P183-M<\/td><td>Darwin: a side-chain positioning program with electron density map constraints based on an exact optimization framework<\/td><td>Nadege Polette, Mikael Grialou and David Allouche<\/td><\/tr><tr><td>8977<\/td><td>P184-M<\/td><td>DDGun: an untrained predictor of protein stability changes upon amino acid variants<\/td><td>Ludovica Montanucci, Emidio Capriotti, Giovanni Birolo, Silvia Benevenuta, Corrado Pnacotti, Dennis Lal and Piero Fariselli<\/td><\/tr><tr><td>3634<\/td><td>P185-M<\/td><td>De novo proteins from rice have a potential for forming structured entities<\/td><td>Francisco J. Guzm\u00e1n-Vega, Yuanmin Zheng, Afaque A. Momin and Stefan T. Arold<\/td><\/tr><tr><td>7709<\/td><td>P186-M<\/td><td>Deciphering protein secretion from brain to CSF for biomarker discovery<\/td><td>Katharina Waury, Renske De Wit and Sanne Abeln<\/td><\/tr><tr><td>6002<\/td><td>P187-M<\/td><td>Deciphering the RRM-RNA recognition code: A computational analysis<\/td><td>Joel Roca-Martinez, Hrishikesh Dhondge and Wim Vranken<\/td><\/tr><tr><td>2400<\/td><td>P188-M<\/td><td>Deep-learning protein structure predictions suggest likely molecular functions for two uncharacterised polytopic membrane proteins from the P. falciparum apicoplast<\/td><td>David Murphy, Daniel Rigden, Shahram Mesdaghi, Filomeno Sanchez Rodriguez, Adam Simpkin and J Javier Burgos-M\u00e1rmol<\/td><\/tr><tr><td>4524<\/td><td>P189-M<\/td><td>Designing next-generation kinase inhibitors using machine learning of structural and chemical features<\/td><td>Nicholas Clark, Ratul Chowdhury, Clemens Hug, Caitlin Mills, Peter Sorger and Mohammed Alquraishi<\/td><\/tr><tr><td>9196<\/td><td>P190-M<\/td><td>Development of a free interactive web portal for cytometry data gating<\/td><td>Robin Cohen, Gabor Beke, Lubos Klucar, Dana Cholujova and Jana Jakubikova<\/td><\/tr><tr><td>&#8211;<\/td><td>P191-M<\/td><td>&#8211;<\/td><td>&#8211;<\/td><\/tr><tr><td>4249<\/td><td>P192-M<\/td><td>Discovering novel genes in bacteria: gene function prediction using protein embeddings and synteny<\/td><td>Aysun Urhan, Bianca-Maria Cosma and Thomas Abeel<\/td><\/tr><tr><td>3271<\/td><td>P193-M<\/td><td>DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts<\/td><td>Yaron Geffen, Yanay Ofran and Ron Unger<\/td><\/tr><tr><td>6785<\/td><td>P194-M<\/td><td>Drug repurposing for identification of potential spike inhibitors for SARS-CoV-2 using molecular docking and molecular dynamics simulations<\/td><td>Michal Lazniewski, Doni Dermawan and Dariusz Plewczynski<\/td><\/tr><tr><td>1377<\/td><td>P195-M<\/td><td>Elucidating important structural features for the binding affinity of spike &#8211; SARS-CoV-2 neutralizing antibody complexes<\/td><td>Divya Sharma and M. Michael Gromiha<\/td><\/tr><tr><td>8123<\/td><td>P196-M<\/td><td>Enzyme and transporter annotation in UniProtKB using Rhea and ChEBI<\/td><td>Lionel Breuza, Lucila Aimo, Ghislaine Argoud-Puy, Kristian Axelsen, Emmanuel Boutet, Cristina Casals-Casas, Elisabeth Coudert, Marc Feuermann, Nadine Gruaz-Gumowski, Damien Lieberherr, Michele Magrane, Anne Morgat, Nevila Hyka-Nouspikel, Lucille Pourcel, Sylvain Poux, Catherine Rivoire, Shyamala Sundaram, Rossana Zaru and Alan Bridge<\/td><\/tr><tr><td>9416<\/td><td>P197-M<\/td><td>E-SNPs&amp;GO: Embedding of protein sequence and function improves the prediction of human pathogenic variants<\/td><td>Matteo Manfredi, Castrense Savojardo, Pier Luigi Martelli and Rita Casadio<\/td><\/tr><tr><td>7308<\/td><td>P198-M<\/td><td>Expression regulation of protein complex partners as a compensatory mechanism in aneuploid tumors<\/td><td>Gokce Senger, Stefano Santaguida and Martin Schaefer<\/td><\/tr><tr><td>3691<\/td><td>P199-M<\/td><td>Features derived from protein 3D structure improve prediction of variant effects in novel proteins<\/td><td>Alexander Gress and Olga V. Kalinina<\/td><\/tr><tr><td>9407<\/td><td>P156-T<\/td><td>Foldseek: fast and accurate protein structure search<\/td><td>Michel van Kempen, Stephanie Kim, Charlotte Tumescheit, Milot Mirdita, Cameron Gilchrist, Johannes Soding and Martin Steinegger<\/td><\/tr><tr><td>7943<\/td><td>P157-T<\/td><td>FrustraEvo: Assessing Protein Families Divergence In The Light Of Sequence and Energetic Constraints<\/td><td>Victoria Ruiz-Serra, Maria Freiberger, Camila Pontes, Miguel Romero, Pablo Galaz-Davison, Cesar Ramirez-Sarmiento, Rodrigo Gonzalo Parra and Alfonso Valencia<\/td><\/tr><tr><td>4867<\/td><td>P158-T<\/td><td>Functional Impacts of Copy Number Imbalance in Aneuploid Cancer<\/td><td>Elle Loughran, Emmanuel Barillot, Andrei Zinovyev, Nicolas Servant and Aoife McLysaght<\/td><\/tr><tr><td>5684<\/td><td>P159-T<\/td><td>Gaussian accelerated molecular dynamics for the convergence of allosterism<\/td><td>Oriol Gracia i Carmona, Franca Fraternalli and Chris Oostenbrink<\/td><\/tr><tr><td>7011<\/td><td>P160-T<\/td><td>Highly significant improvement of protein sequence alignments with AlphaFold2<\/td><td>Leila Mansouri, Athanasios Baltzis, Suzanne Jin, Bj\u00f6rn E. Langer, Ionas Erb and Cedric Notredame<\/td><\/tr><tr><td>2580<\/td><td>P161-T<\/td><td>High-throughput analyses of internal voids in biomolecules and ligand transport through them with TransportTools library<\/td><td>Jan Brezovsky, Carlos Eduardo Sequeiros-Borja, Aravind Selvaram Thirunavukarasu, Bartlomiej Surpeta, Nishita Mandal and Dheeraj Kumar Sarkar<\/td><\/tr><tr><td>7986<\/td><td>P162-T<\/td><td>Identification of protein-protein interaction hubs in multiple sclerosis<\/td><td>G\u00f6zde Yaz\u0131c\u0131, Burcu Kurt Vatanda\u015flar, Bilal Kerman, Emre Karako\u00e7 and Can Alkan<\/td><\/tr><tr><td>&#8211;<\/td><td>P163-T<\/td><td>&#8211;<\/td><td>&#8211;<\/td><\/tr><tr><td>2821<\/td><td>P164-T<\/td><td>Improving Tandem Repeats Proteins annotation and classification in RepeatsDB<\/td><td>Martina Bevilacqua, Damiano Clementel, Alexander Monzon, Jiachen Lu, Paula Arrias and Silvio Tosatto<\/td><\/tr><tr><td>8661<\/td><td>P165-T<\/td><td>Investigation of Bacterial Fibrillar Adhesins and their Binding Characteristics<\/td><td>Vivian Monzon and Alex Bateman<\/td><\/tr><tr><td>1940<\/td><td>P166-T<\/td><td>Lower-order Statistics Facilitate Decoy-free FDR Control in Shotgun Proteomics<\/td><td>Dominik Madej and Henry Lam<\/td><\/tr><tr><td>1976<\/td><td>P167-T<\/td><td>Machine learning applications for the classification of serial ED data<\/td><td>Senik Matinyan, Burak Demir and Jan Pieter Abrahams<\/td><\/tr><tr><td>6279<\/td><td>P168-T<\/td><td>MobiDB: intrinsically disordered proteins in 2022<\/td><td>Alexander Monzon, Damiano Piovesan and Silvio Tosatto<\/td><\/tr><tr><td>526<\/td><td>P169-T<\/td><td>ModCRE: a structure homology-modeling approach to predict TF binding in cis-regulatory elements<\/td><td>Baldo Oliva, Oriol Fornes, Alberto Meseguer, Joaquim Aguirre-Plans, Patrick Gohl, Patricia-Mirela Bota, Ruben Molina-Fernandez, Altair Chinchilla, Ferran Pegenaute, Oriol Gallego, Narcis Fernandez-Fuentes and Jaume Bonet<\/td><\/tr><tr><td>6055<\/td><td>P170-T<\/td><td>nf-core\/proteinfold: a bioinformatics best-practice pipeline for protein 3D structure prediction<\/td><td>Athanasios Baltzis, Jose Espinosa-Carrasco, Luisa Santus, Martin Steinegger, Harshil Patel and Cedric Notredame<\/td><\/tr><tr><td>9899<\/td><td>P171-T<\/td><td>Novel ADP-ribosyltransferase families in the Legionella genus<\/td><td>Marianna Krysi\u0144ska, Krzysztof Paw\u0142owski and Marcin Gradowski<\/td><\/tr><tr><td>3776<\/td><td>P172-T<\/td><td>Novel binding site descriptors built upon inverse virtual screening<\/td><td>Arnau Comajuncosa-Creus, Miquel Duran-Frigola, Xavier Barril and Patrick Aloy<\/td><\/tr><tr><td>9776<\/td><td>P173-T<\/td><td>Origin and evolution of Cas9 and Cas12 proteins<\/td><td>Darius Kazlauskas, Lukas Valan\u010dauskas and \u010ceslovas Venclovas<\/td><\/tr><tr><td>8378<\/td><td>P174-T<\/td><td>PACT \u2013 Prediction of Amyloid Cross-interactions by Threading<\/td><td>Jakub Wojciechowski and Ma\u0142gorzta Kotulska<\/td><\/tr><tr><td>8921<\/td><td>P175-T<\/td><td>PanPA: Construction and Alignments of Panproteome Graphs<\/td><td>Fawaz Dabbaghie, Sanjay Srikakulam, Olga Kalinina and Tobias Marschall<\/td><\/tr><tr><td>5271<\/td><td>P176-T<\/td><td>PrankWeb3 &#8211; ligand binding site prediction for PDB and AlphaFold structures<\/td><td>David Jakubec, Petr \u0160koda, Radoslav Krivak, Marian Novotny and David Hoksza<\/td><\/tr><tr><td>5389<\/td><td>P177-T<\/td><td>Predicting the binding affinity of antibodies with antigens<\/td><td>Nahin Khan, Hossam Almeer, Joao Palotti, Sanjay Chawla and Ehsan Ullah<\/td><\/tr><tr><td>213<\/td><td>P178-T<\/td><td>Predictive and comparative analysis of interaction hotspots of ACE2 orthologs in potential intermediate hosts for SARS-CoV-2<\/td><td>Myeongji Cho, Nara Been and Hyeon S. Son<\/td><\/tr><tr><td>1706<\/td><td>P179-T<\/td><td>ProtVar: Protein coding variant annotation<\/td><td>Rizwan Ishtiaq, James Stephenson, Alok Mishra and Maria Jesus Martin<\/td><\/tr><tr><td>6740<\/td><td>P180-T<\/td><td>Reduced structural flexibility of eplet amino acids in HLA proteins<\/td><td>Diego Amaya, Romain Lhotte, Magali Devriese, Constantin Hays, Jean-Luc Taupin and Marie-Dominique Devignes<\/td><\/tr><tr><td>1079<\/td><td>P181-T<\/td><td>Schistosoma mansoni MEG family proteins in the environment of host-parasite interactions<\/td><td>Stepanka Nedvedova, Kristyna Peterkova, Vojtech Vacek, Petr Mateju, Lukas Konecny, Jan Dvorak, Adriana Erica Miele, Francesca Fiorini Tregou\u00ebt and Maggy Hologne<\/td><\/tr><tr><td>4751<\/td><td>P182-T<\/td><td>Single-cell map of Acute Myeloid Leukaemia<\/td><td>Alice Driessen, Susanne Unger, An-Phi Nguyen, Burkhard Becher and Maria Rodriguez Martinez<\/td><\/tr><tr><td>4296<\/td><td>P183-T<\/td><td>SparseChem: Fast and accurate machine learning model for small molecules<\/td><td>Adam Arany, Jaak Simm, Martijn Oldenhof and Yves Moreau<\/td><\/tr><tr><td>7467<\/td><td>P184-T<\/td><td>Spatial relationships in the urothelial cancer microenvironment, the potential for immune-based subtyping and immunotherapy response prediction<\/td><td>Alberto Gil-Jimenez, Nick van Dijk, Yoni Lubeck, Maurits L. van Montfoort, Erik Hooijberg, Annegien Broeks, Bas van Rhijn, Daniel J. Vis, Michiel S. van der Heijden and Lodewyk F. A. Wessels<\/td><\/tr><tr><td>1636<\/td><td>P185-T<\/td><td>Structural and functional insights into P protein<\/td><td>Shahram Mesdaghi<\/td><\/tr><tr><td>5173<\/td><td>P186-T<\/td><td>Structural modeling and computational analysis of uncharacterized anti-CRISPR Cas proteins<\/td><td>Lukas Valan\u010dauskas, Darius Kazlauskas and \u010ceslovas Venclovas<\/td><\/tr><tr><td>431<\/td><td>P187-T<\/td><td>Structural modelling of odorant receptors from Aedes aegypti and search for natural repellents<\/td><td>Vikas Tiwari and Ramanathan Sowdhamini<\/td><\/tr><tr><td>2500<\/td><td>P188-T<\/td><td>Structure-activity relationships generated for peptaibols produced by Trichoderma: via accelerated MD simulations<\/td><td>D\u00f3ra Bal\u00e1zs, Chetna Tyagi, Tam\u00e1s Marik, Andr\u00e1s Szekeres, Csaba V\u00e1gv\u00f6lgyi and L\u00e1szl\u00f3 Kredics<\/td><\/tr><tr><td>4272<\/td><td>P189-T<\/td><td>Studying the effect of phosphorylations on protein backbone dynamics<\/td><td>David Bickel and Wim Vranken<\/td><\/tr><tr><td>2408<\/td><td>P190-T<\/td><td>Superfamily analysis of rice protein structures reveals a variety of stress tolerance mechanisms<\/td><td>Fatima Shahid, Nicola Bordin, Christine Anne Orengo and Su Datt Lam<\/td><\/tr><tr><td>1322<\/td><td>P191-T<\/td><td>Targeting SARS-CoV-2 Endoribonuclease: A structure-based virtual screening supported by in vitro analysis<\/td><td>Ibrahim Mohamed, Abdo Elfiky, Mohamed Fathy, Sara Mahmoud and Mahmoud Elhefnawi<\/td><\/tr><tr><td>6099<\/td><td>P192-T<\/td><td>The alteration of structural network by transient association between proteins<\/td><td>Vasam Manjveekar Prabantu, Himani Tandon, Sankaran Sandhya and Narayanaswamy Srinivasan<\/td><\/tr><tr><td>1675<\/td><td>P193-T<\/td><td>The clinical importance of tandem exon duplication-derived substitutions<\/td><td>Laura Martinez-Gomez, Fernando Pozo Ocampo, Thomas A. Walsh, Federico Abascal and Michael Tress<\/td><\/tr><tr><td>9209<\/td><td>P194-T<\/td><td>The importance of protein-protein interactions in Toll-like receptor 8 functioning<\/td><td>Maria Bz\u00f3wka, Weronika Bagrowska and Artur G\u00f3ra<\/td><\/tr><tr><td>4827<\/td><td>P195-T<\/td><td>Development of continuous, protein-specific predictors of the impact of protein sequence variants<\/td><td>Selen Ozkan, Nat\u00e0lia Padilla Sirera and Xavier de la Cruz<\/td><\/tr><tr><td>1026<\/td><td>P196-T<\/td><td>What is hidden in the darkness? A large-scale approach to make sense of all natural unknown proteins<\/td><td>Joana Pereira and Torsten Schwede<\/td><\/tr><tr><td>1937<\/td><td>P197-T<\/td><td>Where do they come from, where do they go? Prediction of protein subplastid localization and origin with PlastoGram.<\/td><td>Katarzyna Sidorczuk, Przemyslaw Gagat, Jakub Ka\u0142a, Henrik Nielsen, Filip Pietluch, Pawe\u0142 Mackiewicz and Michal Burdukiewicz<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-e9ef4db\" data-block-id=\"e9ef4db\"><style>.stk-e9ef4db{margin-top:50px !important}.stk-e9ef4db .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-85a8539\" data-block-id=\"85a8539\"><style>.stk-85a8539 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-85a8539 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-85a8539 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-85a8539 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-85a8539 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-85a8539 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-85a8539 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-b13c86b\" data-block-id=\"b13c86b\"><style>.stk-b13c86b .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-b13c86b .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-b13c86b .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-b13c86b .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-b13c86b .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-b13c86b .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-b13c86b .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-26169b5\" data-block-id=\"26169b5\"><style>.stk-26169b5 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-26169b5 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-26169b5 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-26169b5 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-26169b5 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-26169b5 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-26169b5 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-0fbf828\" data-block-id=\"0fbf828\"><style>.stk-0fbf828 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-0fbf828 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-0fbf828 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-0fbf828 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-0fbf828 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-0fbf828 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-0fbf828 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-bd1eb10\" data-block-id=\"bd1eb10\"><style>.stk-bd1eb10 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-bd1eb10 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-bd1eb10 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-bd1eb10 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-bd1eb10 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-bd1eb10 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-bd1eb10 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-2f85b00\" data-block-id=\"2f85b00\"><style>.stk-2f85b00 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-2f85b00 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-2f85b00 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-2f85b00 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-2f85b00 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-2f85b00 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-2f85b00 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-1d0fb8c\" data-block-id=\"1d0fb8c\"><style>.stk-1d0fb8c .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-1d0fb8c .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-1d0fb8c .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-1d0fb8c .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-1d0fb8c .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-1d0fb8c .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-1d0fb8c .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-47b1c7b\" data-block-id=\"47b1c7b\"><style>.stk-47b1c7b .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-47b1c7b .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-47b1c7b .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-47b1c7b .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-47b1c7b .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-47b1c7b .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-47b1c7b .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-c747678\" id=\"h-systems\" data-block-id=\"c747678\"><style>.stk-c747678 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Systems<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>&#8211;<\/td><td>P200-M<\/td><td>&#8211;<\/td><td>&#8211;<\/td><\/tr><tr><td>8972<\/td><td>P201-M<\/td><td>A functional analysis of omic network embedding spaces reveals key altered functions in cancer.<\/td><td>Sergio Doria-Belenguer, Alexandros Xenos, Gaia Ceddia, Noel Malod and Natasa Przulj<\/td><\/tr><tr><td>1656<\/td><td>P202-M<\/td><td>A mathematical model for strigolactone biosynthesis in plants<\/td><td>Abel Lucido, Ester Vilaprinyo and Rui Alves<\/td><\/tr><tr><td>5069<\/td><td>P203-M<\/td><td>A Mechanistic Cellular Atlas of the Rheumatic Joint<\/td><td>Naouel Zerrouk, Sahar Aghakhani, Vidisha Singh, Franck Aug\u00e9 and Anna Niarakis<\/td><\/tr><tr><td>8238<\/td><td>P204-M<\/td><td>A user-friendly strain design pipeline enabling the reproducible identification of Knock-Out strategies for overproducing metabolites of interest.<\/td><td>\u00c1lvaro Gargantilla Becerra, David San Le\u00f3n Granado and Juan Nogales Enrique<\/td><\/tr><tr><td>2450<\/td><td>P205-M<\/td><td>An agent-based model of tumor-associated macrophage differentiation in chronic lymphocytic leukemia<\/td><td>Nina Verstraete, Malvina Marku, Marcin Domagala, Helene Arduin, Jean-Jacques Fourni\u00e9, Loic Ysebaert, Mary Poupot and Vera Pancaldi<\/td><\/tr><tr><td>6862<\/td><td>P206-M<\/td><td>An interpretable Graph Convolutional Network for predicting disease-causing genes involved in SARS-CoV-2 infection.<\/td><td>Samuele Firmani, Valter Bergant, Christoph Ogris, Annalisa Marsico and Andreas Pichlmair<\/td><\/tr><tr><td>7242<\/td><td>P207-M<\/td><td>Between viral targets and differentially expressed genes in viral infections: the sweet spot of disease mechanisms for therapeutic intervention<\/td><td>Carme Zambrana, Sam Windels, Noel Malod-Dognin and Nata\u0161a Pr\u017eulj<\/td><\/tr><tr><td>9762<\/td><td>P208-M<\/td><td>Bioinformatic analysis of prescription patterns and drug combinations of patients under peritoneal dialysis treatment<\/td><td>Michail Evgeniou, Fabian Eibensteiner, Klaus Kratochwill and Paul Perco<\/td><\/tr><tr><td>5292<\/td><td>P209-M<\/td><td>Biologically informed neural network identifies Unfolded Protein Response as key pathway in critical COVID-19<\/td><td>George Gavriilidis, Stella Dimitsaki, Fotis Psomopoulos and Vasileios Vasileiou<\/td><\/tr><tr><td>6265<\/td><td>P210-M<\/td><td>Changing terpenoid biosynthesis in rice through synthetic biology<\/td><td>Oriol Basallo, Rui Alves and Ester Vilaprinyo<\/td><\/tr><tr><td>1234<\/td><td>P211-M<\/td><td>Characterising Alternative Splicing Effects to Protein Interaction Networks with LINDA<\/td><td>Enio Gjerga and Christoph Dieterich<\/td><\/tr><tr><td>1680<\/td><td>P212-M<\/td><td>Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data<\/td><td>Daniel Dimitrov and Julio Saez-Rodriguez<\/td><\/tr><tr><td>6047<\/td><td>P213-M<\/td><td>Composing and organizing metabolic model perturbations and constraint systems with COBREXA.jl<\/td><td>Miroslav Kratochv\u00edl, St Elmo Wilken, Laurent Heirendt, Reinhard Schneider, Christophe Trefois and Wei Gu<\/td><\/tr><tr><td>9793<\/td><td>P214-M<\/td><td>Computational prediction of time-course drug transcriptomic responses<\/td><td>Michio Iwata and Yoshihiro Yamanishi<\/td><\/tr><tr><td>8268<\/td><td>P215-M<\/td><td>Construction of the cystic fibrosis biological network from the meta-analysis of transcriptomic studies<\/td><td>Matthieu Najm, Loredana Martignetti, Matthieu Cornet, Mairead Aubert, Isabelle Sermet-Gaudelus, Laurence Calzone and V\u00e9ronique Stoven<\/td><\/tr><tr><td>437<\/td><td>P216-M<\/td><td>Context-specific investigations of combined miRNA effects with DIANA-miRPath v4.0<\/td><td>Spyros Tastsoglou, Giorgos Skoufos, Marios Miliotis, Dimitra Karagkouni, Ioannis Koutsoukos, Anna Karavangeli, Filippos Kardaras and Artemis Hatzigeorgiou<\/td><\/tr><tr><td>8628<\/td><td>P217-M<\/td><td>Coupling of poro-aniso-hyperelastic and solute transport finite element models in a High-Performance Computing framework, for the study of Intervertebral Disc Degeneration<\/td><td>Dimitrios Lialios, Mariano Vazquez, Beatriz Eguzkitza, Eva Casoni and Maria Paola Ferri<\/td><\/tr><tr><td>5451<\/td><td>P218-M<\/td><td>DEPI v3: A systems biology and artificial intelligence based patient stratification and drug positioning platform for neurodevelopmental disorders<\/td><td>Laura P\u00e9rez-Cano, Francesco Sirci, Igor Ariz-Extreme, Daniel Boloc, Sara Azidane, Jos\u00e9 Hidalgo, Rub\u00e9n Sabido, Lynn Durham and Emre Guney<\/td><\/tr><tr><td>4796<\/td><td>P219-M<\/td><td>DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks<\/td><td>Pauline Hiort, Julian Hugo, Justus Zeinert, Nataniel M\u00fcller, Spoorthi Kashyap, Jagath C. Rajapakse, Francisco Azuaje, Bernhard Y. Renard and Katharina Baum<\/td><\/tr><tr><td>3375<\/td><td>P220-M<\/td><td>Estimating Strengths of Causal Interactions for Gene Regulatory Networks in Yeast<\/td><td>Adriaan Ludl, Tom Michoel and Mariyam Khan<\/td><\/tr><tr><td>4239<\/td><td>P221-M<\/td><td>Ethanol-induced sex-based differences in the extracellular vesicles lipidome<\/td><td>Carla Perpi\u00f1\u00e1-Cl\u00e9rigues, Jos\u00e9 F. Catal\u00e0-Senent, Susana Mellado, Consuelo Guerri, Mar\u00eda Pascual and Francisco Garc\u00eda-Garc\u00eda<\/td><\/tr><tr><td>2978<\/td><td>P222-M<\/td><td>Evaluation of machine-learning methods using diverse representations and feature selection techniques for cell type annotation in single-cell transcriptomics data<\/td><td>Hyojin Kim, Rafael Kramann and Sikander Hayat<\/td><\/tr><tr><td>6941<\/td><td>P223-M<\/td><td>Flexible nets to optimize antibody production in chinese hamster ovary cells<\/td><td>Teresa Joven, Jorge L\u00e1zaro, Jorge J\u00falvez, Nicole Borth, Diana Sz\u00e9liov\u00e1 and J\u00fcrgen Zanghellini<\/td><\/tr><tr><td>7611<\/td><td>P224-M<\/td><td>GALLANT: A standardized workflow for multi strain Genome-scale metabolic modeling.<\/td><td>David San Le\u00f3n Granado and Juan Nogales Enrique<\/td><\/tr><tr><td>6429<\/td><td>P225-M<\/td><td>Gene-essentiality based drug signature helps repurposing non-cancer drugs<\/td><td>Jing Tang and Wenyu Wang<\/td><\/tr><tr><td>4550<\/td><td>P226-M<\/td><td>Guiding CAR T cell experimental design using probabilistic graphical models<\/td><td>Alice Driessen, Roc\u00edo Castellanos Rueda, Constance le Gac, Nicolas Deutschman, Sai Reddy and Maria Rodriguez Martinez<\/td><\/tr><tr><td>7673<\/td><td>P227-M<\/td><td>Hybrid system based gene regulation models of circadian cycles<\/td><td>Lelde Lace, Gatis Melkus, Karlis Cerans and Juris Viksna<\/td><\/tr><tr><td>1478<\/td><td>P228-M<\/td><td>Identification of transcriptional network disruptions associated to drug resistance in cancer with TraRe<\/td><td>Charles Blatti, Jes\u00fas de la Fuente, Huanyao Gao, Irene Mar\u00edn Go\u00f1i, Zikun Chen, Sihai Zao, Winston Tan, Richard Weinshilboum, Krishna Kalari, Liewei Wang and Mikel Hernaez<\/td><\/tr><tr><td>9741<\/td><td>P229-M<\/td><td>Identifying key multifunctional components shared by critical cancer and normal liver pathways via sparseGMM<\/td><td>Shaimaa Bakr, Kevin Brennan, Pritam Mukherjee, Josepmaria Argemi, Mikel Hernaez and Olivier Gevaert<\/td><\/tr><tr><td>3509<\/td><td>P230-M<\/td><td>Image-based simulation of morphogen gradient formation during zebrafish epiboly.<\/td><td>Justina Stark, Rohit Krishnan Harish, Michael Brand and Ivo F. Sbalzarini<\/td><\/tr><tr><td>9046<\/td><td>P231-M<\/td><td>Implementation of cellular transport mechanisms within a multiscale simulation framework<\/td><td>Othmane Hayoun-Mya, Arnau Montagud, Miguel Ponce-de-Leon and Alfonso Valencia<\/td><\/tr><tr><td>5320<\/td><td>P232-M<\/td><td>Improving xylose-fermenting yeast for 2G ethanol production via constraint-based modeling combined with omics data analysis<\/td><td>Lucas Carvalho, V\u00edtor Pereira, Guido Araujo, Marcelo Carazzolle, Gon\u00e7alo A. G. Pereira and Miguel Rocha<\/td><\/tr><tr><td>4036<\/td><td>P233-M<\/td><td>Inferring biologically relevant molecular tissue substructures by agglomerative clustering of digitized spatial transcriptomes with multilayer<\/td><td>Marco Antonio Mendoza Parra and Julien Moehlin<\/td><\/tr><tr><td>6455<\/td><td>P234-M<\/td><td>Inferring pathway activities from gene expression data using perturbation transcription profiles of the LINCS-L1000 dataset<\/td><td>Bence Szalai, Szabolcs Hetey, P\u00e9ter Szikora, Krist\u00f3f Szalay and D\u00e1niel V Veres<\/td><\/tr><tr><td>8148<\/td><td>P235-M<\/td><td>In-silico perturbation of transcription factors in a deep model of gene expression can predict tissue-specific regulation<\/td><td>Yuhu Liang, Viktoria Schuster, Thilde Terkelsen and Anders Krogh<\/td><\/tr><tr><td>8328<\/td><td>P236-M<\/td><td>Integrating and mining time-dependent single-cell RNA-seq data: Parkinson&#8217;s disease application<\/td><td>Katarina Mihajlovic, Gaia Ceddia, No\u00ebl Malod-Dognin, Gabriela Novak, Alexander Skupin, Dimitrios Kyriakis and Nata\u0161a Pr\u017eulj<\/td><\/tr><tr><td>2151<\/td><td>P237-M<\/td><td>ISMARA: completely automated inference of gene regulatory networks from high-throughput data.<\/td><td>Piotr Balwierz, Mikhail Pachkov, Phil Arnold, Andreas Gruber, Mihaela Zavolan and Erik van Nimwegen<\/td><\/tr><tr><td>5700<\/td><td>P238-M<\/td><td>Isoform-level quantification for single-cell RNA sequencing<\/td><td>Lu Pan, Huy Dinh, Yudi Pawitan and Trung Nghia Vu<\/td><\/tr><tr><td>5565<\/td><td>P239-M<\/td><td>Learning and reasoning with Bayesian networks to reconstruct cell signalling networks and automate hypothesis generation from phosphoproteomics data<\/td><td>Magdalena Huebner, Conrad Bessant and Pedro Cutillas<\/td><\/tr><tr><td>8993<\/td><td>P198-T<\/td><td>Leveraging multi-omic network embeddings to attain mechanistic insights into acute-on-chronic liver failure<\/td><td>Matthias Fabian Meyer-Bender, Pia Erdoesi, Maren B\u00fcttner, Ioannis Deligiannis, Rizqah Kamies, Ersin Karatayli, Matthias Ebert, Frank Lammert, Christine von T\u00f6rne, Stefanie Hauck, Celia P. Martinez-Jimenez, Nikola Mueller, Steven Dooley, Michael Menden, Seddik Hammad and Christoph Ogris<\/td><\/tr><tr><td>5526<\/td><td>P199-T<\/td><td>Leveraging systems biology and machine learning for automatic drug repurposing in the rare disease landscape<\/td><td>Marina Esteban, Carlos Loucera, Maria Pe\u00f1a-Chilet and Joaqu\u00edn Dopazo<\/td><\/tr><tr><td>4218<\/td><td>P200-T<\/td><td>Longitudinal analysis of biological age (Phenoage) in UKBiobank participants reveals key factors driving ageing trajectories<\/td><td>Laura Bravo, Victor Cardoso, John William, Dominic Russ, Samantha Pendleton, Furqan Aziz, Archana Sharma-Oates, Animesh Acharjee, Georgios Gkoutos and Janet Lord<\/td><\/tr><tr><td>4759<\/td><td>P201-T<\/td><td>Machine learning for functional reconstruction and analysis of Biochemical interactions controlling Colorectal cancer phenotypes<\/td><td>Victor Olorunshola, Ian Overton, Sandra Van Schaeybroeck, Alan Murphy and Erola Pairo-Castineira<\/td><\/tr><tr><td>9295<\/td><td>P202-T<\/td><td>Mathematically mapping the network of cells in the tumor microenvironment<\/td><td>M. van Santvoort, \u00d3. Lapuente-Santana, F. Finotello, W.L.F. van der Hoorn and F. Eduati<\/td><\/tr><tr><td>8530<\/td><td>P203-T<\/td><td>Metabolic Atlas &#8211; exploration and visualization of metabolic networks for model organisms<\/td><td>Mihail Anton, Nanjiang Shu, Ingrid Hyltander, Malin Klang, Per Johnsson, Shan Huang, L. Thomas Svensson and Jens Nielsen<\/td><\/tr><tr><td>161<\/td><td>P204-T<\/td><td>Metabolic Reprogramming in Rheumatoid Arthritis Synovial Fibroblast: a Hybrid Modeling Approach<\/td><td>Sahar Aghakhani, Sylvain Soliman and Anna Niarakis<\/td><\/tr><tr><td>7952<\/td><td>P205-T<\/td><td>miRarmature: a time series analysis pipeline for paired miRNA and RNA-seq data reveals new regulatory dynamics<\/td><td>Ranjan Kumar Maji, Ariane Fischer, Martin C. Simon, Stefanie Dimmeler and Marcel H. Schulz<\/td><\/tr><tr><td>3537<\/td><td>P206-T<\/td><td>Modeling the metabolic switch in Ewing Sarcoma from single-cell transcriptomic profiles<\/td><td>Marianyela Petrizzelli and Andrei Zinovyev<\/td><\/tr><tr><td>1213<\/td><td>P207-T<\/td><td>Molecular cross-talk communication between Intermuscular Adipose Tissue and Skeletal Muscle under progressing Insulin Resistance<\/td><td>Amare Wolide and Dominik Lutter<\/td><\/tr><tr><td>8056<\/td><td>P208-T<\/td><td>Multi-modal based predictions of vaccine-induced immune responses.<\/td><td>Fabio Affaticati, Abdulkader Azouz, Esther Bartholomeus, Benson Ogunjimi, Stanislas Goriely, Kris Laukens and Pieter Meysman<\/td><\/tr><tr><td>1194<\/td><td>P209-T<\/td><td>Multimodal Synthetic Lethality Prediction in Cancer<\/td><td>Yasin Tepeli, Colm Seale and Joana P. Gon\u00e7alves<\/td><\/tr><tr><td>9944<\/td><td>P210-T<\/td><td>Multi-Omics Visible Drug Activity prediction, interpreting the biological processes underlying drug sensitivity<\/td><td>Luigi Ferraro, Giovanni Scala and Michele Ceccarelli<\/td><\/tr><tr><td>3395<\/td><td>P211-T<\/td><td>Multiscale model of the different modes of invasion<\/td><td>Marco Ruscone, Arnau Montagud, Philippe Chavrier, Olivier Destaing, Andrei Zinovyev, Emmanuel Barillot, Vincent Noel and Laurence Calzone<\/td><\/tr><tr><td>5883<\/td><td>P212-T<\/td><td>Network analysis of Aicardi-Gouti\u00e8res syndrome-related genes &#8211; a systems biology approach<\/td><td>Gerda Cristal Villalba Silva and Shiaw-Yih Lin<\/td><\/tr><tr><td>4921<\/td><td>P213-T<\/td><td>Network medicine-based gene prioritization in Intervertebral Disc Degeneration (IDD)<\/td><td>Francesco Gualdi, Janet Pi\u00f1ero and Baldomero Oliva<\/td><\/tr><tr><td>9712<\/td><td>P214-T<\/td><td>Network-based driver identification with GoNetic<\/td><td>Simon Isphording, Giles Miclotte and Kathleen Marchal<\/td><\/tr><tr><td>1973<\/td><td>P215-T<\/td><td>Novel systemic approach using comorbid phenotype clusters to propose disease-causing genes in undiagnosed patients<\/td><td>Jos\u00e9 C\u00f3rdoba-Caballero, Pedro Seoane-Zonjic, James R. Perkins, Elena Rojano and Juan A. G. Ranea<\/td><\/tr><tr><td>4592<\/td><td>P216-T<\/td><td>Numerical approaches for the rapid analysis of prophylactic efficacy against HIV<\/td><td>Lanxin Zhang, Junyu Wang and Max von Kleist<\/td><\/tr><tr><td>5411<\/td><td>P217-T<\/td><td>Omic fold changes clustering and network inference to study the radiation response of endothelial cells<\/td><td>Polina Arsenteva, Vincent Paget, Olivier Guipaud, Fabien Milliat, Herv\u00e9 Cardot and Mohamed Amine Benadjaoud<\/td><\/tr><tr><td>8074<\/td><td>P218-T<\/td><td>Patient stratification reveals the molecular basis of comorbidities<\/td><td>Beatriz Urda-Garc\u00eda, Jon S\u00e1nchez-Valle, Rosalba Lepore and Alfonso Valencia<\/td><\/tr><tr><td>8785<\/td><td>P219-T<\/td><td>Predicting EDC mode of action from toxicogenomics data using EDTox<\/td><td>Arindam Ghosh, Amirhossein Sakhteman, Raghavendra Mysore, Einari Niskanen, Thomas Darde, Pierre Daligaux, Christophe Chesn\u00e9, Jorma Palvimo and Vittorio Fortino<\/td><\/tr><tr><td>687<\/td><td>P220-T<\/td><td>Prediction Of Shared Intratumor Transcriptional Heterogeneity From Bulk Cancer Transcriptomic Data<\/td><td>Agnieszka Kraft and Valentina Boeva<\/td><\/tr><tr><td>4320<\/td><td>P221-T<\/td><td>Reactome disease association overlay<\/td><td>Eliot Ragueneau, Deng Chuan, Krishna Tiwari, Chuqiao Gong, Guilherme Viteri and Henning Hermjakob<\/td><\/tr><tr><td>6186<\/td><td>P222-T<\/td><td>RedRedundance: A web app to summarize the results of functional enrichment analyzes for one or multiple gene lists<\/td><td>Mireia Ferrer, Esther Camacho, Berta Mir\u00f3, Angel Blanco and Alex Sanchez<\/td><\/tr><tr><td>3146<\/td><td>P223-T<\/td><td>scRNA-Seq based drug repurposing for targeting alveolar regeneration in idiopathic pulmonary fibrosis<\/td><td>Anika Liu, Joo-Hyeon Lee, Andreas Bender and Namshik Han<\/td><\/tr><tr><td>1674<\/td><td>P224-T<\/td><td>Simulation of ground truth interaction networks from microbial community model<\/td><td>Ada Rossato, Marco Cappellato, Nora Nikoloska, Giacomo Baruzzo and Barbara Di Camillo<\/td><\/tr><tr><td>3390<\/td><td>P225-T<\/td><td>Single-cell multi-omics heterogenous multilayer network to infer gene regulatory mechanisms<\/td><td>Ina Maria Deutschmann, R\u00e9mi Trimbour and Laura Cantini<\/td><\/tr><tr><td>6756<\/td><td>P226-T<\/td><td>spongEffects: ceRNA modules offer patient-specific insights into the miRNA regulatory landscape<\/td><td>Fabio Boniolo, Markus Daniel Hoffmann, Norman Roggendorf, Bahar Tercan, Jan Baumbach, Mauro Ant\u00f4nio Castro, A. Gordon Robertson, Dieter Saur and Markus List<\/td><\/tr><tr><td>5329<\/td><td>P227-T<\/td><td>Stochastic Model of Intra-Tumor Heterogeneity (SMITH)<\/td><td>Adam Streck, Tom Kaufmann and Roland F. Schwarz<\/td><\/tr><tr><td>9633<\/td><td>P228-T<\/td><td>STOCHASTIC SIMULATION OF SARS-COV-2 SPREADING AND EVOLUTION ACCOUNT FOR WHITHIN HOST DYNAMICS (SIMPLICITY).<\/td><td>Pietro Gerletti, Max Von Kleist, Sofia Paraskevopoulou, Matthew Huska and Stephan Fuchs<\/td><\/tr><tr><td>4613<\/td><td>P229-T<\/td><td>Systematic Analysis of Alternative Splicing in Time Course Data of SARS-Cov2 infection development using Spycone<\/td><td>Chit Tong Lio, Zakaria Louadi, Amit Fenn, Jan Baumbach, Olga Tsoy, Tim Kacprowski and Markus List<\/td><\/tr><tr><td>1218<\/td><td>P230-T<\/td><td>The sample size value in Network Medicine: an application of gene co-expression networks<\/td><td>Joaquim Aguirre-Plans, Bingsheng Chen, Deisy Morselli Gysi and Albert-Laszlo Barabasi<\/td><\/tr><tr><td>9847<\/td><td>P231-T<\/td><td>Topological analysis as a tool for detection of abnormalities in protein-protein interaction data<\/td><td>Alicja Nowakowska and Malgorzata Kotulska<\/td><\/tr><tr><td>4430<\/td><td>P232-T<\/td><td>Towards a community-driven benchmark: PerMedCoE prepares a three agent-based modelling frameworks comparison.<\/td><td>Thaleia Ntiniakou, Arnau Montagud and Alfonso Valencia<\/td><\/tr><tr><td>9434<\/td><td>P233-T<\/td><td>Towards a data-driven network inference model of interactions between immune and cancer cells in Chronic Lymphocytic Leukaemia<\/td><td>Malvina Marku, Hugo Chenel, Julie Bordenave, Nina Verstraete, Leila Khajavi, Flavien Raynal and Vera Pancaldi<\/td><\/tr><tr><td>4707<\/td><td>P234-T<\/td><td>Tracking pathway activity in pseudotime<\/td><td>Priyansh Srivastava, Stefan G\u00f6tz and Ana Conesa<\/td><\/tr><tr><td>378<\/td><td>P235-T<\/td><td>Tumor microenvironment evolution simulated through a hybrid Multi-Agent Spatio-Temporal model informed using sequencing data<\/td><td>Mikele Milia, Giulia Cesaro, Giacomo Baruzzo, Giovanni Finco, Francesco Morandini, Alessio Lazzarini, Piergiorgio Alotto, Noel Filipe da Cunha Carvalho de Miranda, Zlatko Trajanoski, Francesca Finotello and Barbara Di Camillo<\/td><\/tr><tr><td>9578<\/td><td>P236-T<\/td><td>Using neural networks to decipher non-equilibrium states of cell differentiation process<\/td><td>Susan Ghaderi, Alexander Skupin and Yves Moreau<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-7656bab\" data-block-id=\"7656bab\"><style>.stk-7656bab{margin-top:50px !important}.stk-7656bab .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-00b42bf\" data-block-id=\"00b42bf\"><style>.stk-00b42bf .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-00b42bf .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-00b42bf .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-00b42bf .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-00b42bf .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-00b42bf .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-00b42bf .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-02e128a\" data-block-id=\"02e128a\"><style>.stk-02e128a .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-02e128a .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-02e128a .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-02e128a .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-02e128a .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-02e128a .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-02e128a .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-60cc953\" data-block-id=\"60cc953\"><style>.stk-60cc953 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-60cc953 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-60cc953 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-60cc953 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-60cc953 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-60cc953 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-60cc953 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-9f9a811\" data-block-id=\"9f9a811\"><style>.stk-9f9a811 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-9f9a811 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-9f9a811 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-9f9a811 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-9f9a811 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-9f9a811 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-9f9a811 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-4ce0ca4\" data-block-id=\"4ce0ca4\"><style>.stk-4ce0ca4 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-4ce0ca4 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-4ce0ca4 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-4ce0ca4 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-4ce0ca4 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-4ce0ca4 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-4ce0ca4 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-cde10af\" data-block-id=\"cde10af\"><style>.stk-cde10af .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-cde10af .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-cde10af .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-cde10af .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-cde10af .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-cde10af .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-cde10af .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-af993ab\" data-block-id=\"af993ab\"><style>.stk-af993ab .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-af993ab .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-af993ab .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-af993ab .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-af993ab .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-af993ab .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-af993ab .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-dd27910\" data-block-id=\"dd27910\"><style>.stk-dd27910 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-dd27910 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-dd27910 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-dd27910 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-dd27910 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-dd27910 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-dd27910 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-8de27df\" id=\"h-climate\" data-block-id=\"8de27df\"><style>.stk-8de27df .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Climate Crisis and Health<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>8710<\/td><td>P240-M<\/td><td>A metabolomic approach to understand the metabolic link between obesity and type 2 diabetes<\/td><td>Qiuling Dong, Sapna Sharma and Harald Grallert<\/td><\/tr><tr><td>4359<\/td><td>P241-M<\/td><td>APPLYING HUMAN EPIGENETIC INTER-VARIABILITY FOR PERSONALIZED NUTRITION STRATEGIES IN CANCER PATIENTS<\/td><td>Teresa Laguna, Marco Garranzo, Marta G\u00f3mez de Cedr\u00f3n, Ana Ram\u00edrez de Molina and Enrique Carrillo de Santa Pau<\/td><\/tr><tr><td>7907<\/td><td>P242-M<\/td><td>Automated Diagnostic System for Medical Treatment of Infectious Diseases using Causal transfer learning and biological knowledge graph embedding<\/td><td>Sakhaa Alsaedi, Katsuhiko Mineta, Xin Gao and Takashi Gojobori<\/td><\/tr><tr><td>8386<\/td><td>P243-M<\/td><td>Characterization Of The Latent Resistome In External And Host-associated Environments<\/td><td>Juan Inda-D\u00edaz, David Lund, Anna Johnning, Marcos Parras-Molt\u00f3, Johan Bengtsson-Palme and Erik Kristiansson<\/td><\/tr><tr><td>5869<\/td><td>P244-M<\/td><td>DeclaraMID: A Declarative Framework for Modeling Infectious Diseases<\/td><td>Sebastiaan Weytjens, Ann Now\u00e9, Niel Hens and Pieter Libin<\/td><\/tr><tr><td>2209<\/td><td>P245-M<\/td><td>Deep Learning to differentiate between images of burnt and normal skin<\/td><td>Kirsty Smith, Sharmila Jivan, Ajay Mahajan, Khaled Jumah and Krzysztof Poterlowicz<\/td><\/tr><tr><td>9800<\/td><td>P246-M<\/td><td>EDAM and EDAM Geo: an ontology for data-intensive, interdisciplinary geo- and biosciences<\/td><td>Lucie Lamothe, Mads Kierkegaard, Melissa Black, Hager Eldakroury, Veit Schw\u00e4mmle, Hamish Struthers, Bryan Brancotte, Kessy Abarenkov, Olga Silantyeva, Jean Iaquinta, Jon Ison, Jonathan Karr, Anne Fouilloux, Alban Gaignard, Herv\u00e9 M\u00e9nager, Mat\u00fa\u0161 Kala\u0161 and And The Edam Community<\/td><\/tr><tr><td>8910<\/td><td>P237-T<\/td><td>Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration<\/td><td>Alexandra Cimpean, Lander Willem, Timothy Verstraeten, Niel Hens, Ann Now\u00e9 and Pieter Libin<\/td><\/tr><tr><td>3303<\/td><td>P238-T<\/td><td>Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning<\/td><td>Mathieu Reymond, Conor F Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Now\u00e9 and Pieter Libin<\/td><\/tr><tr><td>5817<\/td><td>P239-T<\/td><td>Feed Your Model More Protein: Novel features based on viral protein composition and predicted interaction improve and slimline models of viral zoonoses<\/td><td>Matt Arnold, Simon Crouzet, Daniel Streicker and Simon Babayan<\/td><\/tr><tr><td>7396<\/td><td>P240-T<\/td><td>FOODRUGS: AN EXPLORATORY MINING WEB APPLICATION FOR FOOD &#8211; DRUG INTERACTIONS<\/td><td>Marco Garranzo, Teresa Laguna Lobo, David P\u00e9rez Serrano, Blanca Lacruz Pleguezuelos, Mar\u00eda Isabel Espinosa, Ana Ram\u00edrez de Molina and Enrique Carrillo-De Santa Pau<\/td><\/tr><tr><td>3186<\/td><td>P241-T<\/td><td>Providing a dashboard for monitoring effects of contact behavior on the spread of SARS-CoV-2<\/td><td>Paul Chevelev, Richard Schiemenz, Ferdous Nasri, Richard Pastor, Bernhard Y Renard and Sten R\u00fcdiger<\/td><\/tr><tr><td>3293<\/td><td>P242-T<\/td><td>Rooting virus phylogenies using UNREST and the general Markov model<\/td><td>Jose Nikhil Teja Dasari, Prabhav Kalaghatgi and Martin Vingron<\/td><\/tr><tr><td>7293<\/td><td>P243-T<\/td><td>Similarity network approach on transcriptomic data of patients with systemic infectious diseases.<\/td><td>Francesco Messina, Carolina Venditti, Carla Nisii, Carla Fontana and Alessandro Capone<\/td><\/tr><tr><td>345<\/td><td>P244-T<\/td><td>TCR-epitope recognition models to untangle unique and cross-reactive T-cell immunity in COVID-19 patients<\/td><td>Anna Postovskaya, Alexandra Vujkovic, Tessa de Block, Lida van Petersen, Maartje van Frankenhuijsen, Isabel Brosius, Emannuel Bottieau, Christophe Van Dijck, Caroline Theunissen, Sabrina van Ierssel, Erika Vlieghe, Esther Bartholomeus, Wim Adriaensen, Guido Vanham, Benson Ogunjimi, Koen Vercauteren, Kris Laukens and Pieter Meysman<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-4557ad2\" data-block-id=\"4557ad2\"><style>.stk-4557ad2{margin-top:50px !important}.stk-4557ad2 .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-3e4e0bd\" data-block-id=\"3e4e0bd\"><style>.stk-3e4e0bd .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-3e4e0bd .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-3e4e0bd .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-3e4e0bd .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-3e4e0bd .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-3e4e0bd .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-3e4e0bd .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-9afd41e\" data-block-id=\"9afd41e\"><style>.stk-9afd41e .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-9afd41e .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-9afd41e .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-9afd41e .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-9afd41e .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-9afd41e .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-9afd41e .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-9adfc02\" data-block-id=\"9adfc02\"><style>.stk-9adfc02 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-9adfc02 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-9adfc02 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-9adfc02 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-9adfc02 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-9adfc02 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-9adfc02 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-14f5328\" data-block-id=\"14f5328\"><style>.stk-14f5328 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-14f5328 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-14f5328 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-14f5328 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-14f5328 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-14f5328 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-14f5328 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-509ff69\" data-block-id=\"509ff69\"><style>.stk-509ff69 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-509ff69 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-509ff69 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-509ff69 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-509ff69 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-509ff69 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-509ff69 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-be1dd75\" data-block-id=\"be1dd75\"><style>.stk-be1dd75 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-be1dd75 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-be1dd75 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-be1dd75 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-be1dd75 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-be1dd75 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-be1dd75 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-74e1ae8\" data-block-id=\"74e1ae8\"><style>.stk-74e1ae8 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-74e1ae8 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-74e1ae8 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-74e1ae8 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-74e1ae8 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-74e1ae8 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-74e1ae8 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-6b779fa\" data-block-id=\"6b779fa\"><style>.stk-6b779fa .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-6b779fa .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-6b779fa .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-6b779fa .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-6b779fa .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-6b779fa .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-6b779fa .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-5c648ee\" id=\"h-applications\" data-block-id=\"5c648ee\"><style>.stk-5c648ee .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Applications<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>9350<\/td><td>P247-M<\/td><td>Alternative splicing analysis benchmark with DICAST<\/td><td>Amit Fenn, Olga Tsoy, Tim Faro, Fanny Roessler, Alexander Dietrich, Johannes Kersting, Zakaria Louadi, Chit Tong Lio, Uwe V\u00f6lker, Jan Baumbach, Tim Kacprowski and Markus List<\/td><\/tr><tr><td>8514<\/td><td>P248-M<\/td><td>Attention-based Variation Graph Autoencoder for DTA Prediction on Multiplex Heterogeneous Network<\/td><td>Dimitrios Papadopoulos, Bin Liu, David \u010cech\u00e1k and Grigorios Tsoumakas<\/td><\/tr><tr><td>2281<\/td><td>P249-M<\/td><td>cellAssign: a small toolset to identify the cell types associated with methylation components<\/td><td>Reka Toth, Pavlo Lutsik, Christoph Plass and Petr V. Nazarov<\/td><\/tr><tr><td>3857<\/td><td>P250-M<\/td><td>Cell-type identification via functional enrichment analysis of Single-cell RNA-seq data<\/td><td>Marta Benegas Coll and Stefan G\u00f6tz<\/td><\/tr><tr><td>4354<\/td><td>P251-M<\/td><td>ChIA-BERT: prediction of CTCF-mediated chromatin loops identified by Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) from DNA sequence<\/td><td>Mateusz Chili\u0144ski and Dariusz Plewczynski<\/td><\/tr><tr><td>8613<\/td><td>P252-M<\/td><td>Choosing variant interpretation tools for clinical applications: context matters<\/td><td>Xavier de la Cruz, Nat\u00e0lia Padilla, Josu Aguirre, Selen \u00d6zkan, Casandra Riera and Lidia Feliubadal\u00f3<\/td><\/tr><tr><td>700<\/td><td>P253-M<\/td><td>Combined Quality Assessment of Different Long-Reads Sequencing Methods<\/td><td>Enrique Presa-D\u00edez, Adolfo L\u00f3pez-Cerd\u00e1n and Stefan G\u00f6tz<\/td><\/tr><tr><td>4478<\/td><td>P254-M<\/td><td>Continuous reference color scheme for genetic ancestry using CIELAB<\/td><td>Felix Pacheco, Mikaela Koutrouli, Karina Banasik, Lars Juhl Jensen and S\u00f8ren Brunak<\/td><\/tr><tr><td>3671<\/td><td>P255-M<\/td><td>CROSTA: CROss-Species Transmissibility Analyser for Pathogen Sequences<\/td><td>Shan Tharanga, Eyy\u00fcb Selim \u00dcnl\u00fc, Esra B\u00fc\u015fra I\u015f\u0131k, Muhammad Farhan Sjaugi and Mohammad Asif Khan<\/td><\/tr><tr><td>4052<\/td><td>P256-M<\/td><td>Current activities of the ELIXIR Machine Learning Focus Group<\/td><td>Fotis Psomopoulos, Emidio Capriotti, N\u00faria Queralt Rosinach, Machine Learning Focus Group Tasks Participants, Leyla Jael Castro and Silvio Tostto<\/td><\/tr><tr><td>7403<\/td><td>P257-M<\/td><td>DA4LT: an efficient computational method for cross-species label transfer from single cell data<\/td><td>Rawan Olayan, Sergio Picart-Armada, Gregorio Alanis-Lobato, Francesc Fernandez-Albert, Timothy B Sackton and Stefano Patassini<\/td><\/tr><tr><td>6882<\/td><td>P258-M<\/td><td>fCAT &#8211; Assessing gene set completeness using domain-architecture aware targeted ortholog searches<\/td><td>Vinh Tran and Ingo Ebersberger<\/td><\/tr><tr><td>6199<\/td><td>P259-M<\/td><td>FrankenSeq: A user-friendly and modular machine learning package for Single-cell RNA-Seq Cluster Analysis<\/td><td>Edward Agboraw and Quan Gu<\/td><\/tr><tr><td>3471<\/td><td>P260-M<\/td><td>Functional Enrichment Analysis of Regulatory Elements with GeneCodis4<\/td><td>Adrian Garcia-Moreno, Raul Lopez-Dominguez, Juan Antonio Villatoro-Garcia, Samuel Perez-Fernandez and Pedro Carmona-Saez<\/td><\/tr><tr><td>1741<\/td><td>P261-M<\/td><td>GeneHTracker: improving reproducibility and reusability of datasets based on gene identifiers.<\/td><td>Hugo Guillen-Ramirez, Daniel Sanchez-Taltavull and Rory Johnson<\/td><\/tr><tr><td>5168<\/td><td>P262-M<\/td><td>Implications of phenotypic and functional heterogeneity in cancer cells<\/td><td>Asadullah and Shamik Sen<\/td><\/tr><tr><td>7281<\/td><td>P263-M<\/td><td>Mathematica as a platform to develop tools for education, data representation, and analysis in epidemiology<\/td><td>Rui Alves, Ester Vilaprinyo, Alberto Marin-Sanguino and Albert Sorribas<\/td><\/tr><tr><td>9084<\/td><td>P245-T<\/td><td>MicroNAP-web: A novel framework to characterize genomic and transcriptomic changes in engineered microbial strains based on Next Generation Sequencing data.<\/td><td>Veronika Schusterbauer, Daniel Degreif, Christoph Schiklenk, Anton Glieder and Gerhard Thallinger<\/td><\/tr><tr><td>4055<\/td><td>P246-T<\/td><td>MinSizeML: An R Package to Estimate the Minimum Sample Size in Supervised Learning for Classification<\/td><td>Guillermo Prol Castelo and Jose Luis Mosquera<\/td><\/tr><tr><td>4616<\/td><td>P247-T<\/td><td>Multi-Omics Analysis and Metabolic Network Construction in suberinization of cork oak.<\/td><td>Nuria Mauri, Maria Verdum, Patr\u00edcia Jov\u00e9, Ignacio Onta\u00f1on, Jordi Rosell\u00f3, Vicente Ferreira and David Caparr\u00f3s-Ru\u00edz<\/td><\/tr><tr><td>9890<\/td><td>P248-T<\/td><td>New algorithms for accurate and efficient de-novo genome assembly from long DNA sequencing reads<\/td><td>David Guevara-Barrientos, Laura Natalia Gonz\u00e1lez Garc\u00eda, Daniela Lozano, Juanita Gil, Maria Camila Hoyos, Christian Chavarro, Natalia Guayazan, Luis Chica, Maria Camila Buitrago, Edwin Bautista, Juan Camilo Bojac\u00e1, Miller Andr\u00e9s Trujillo Achury and Jorge Duitama<\/td><\/tr><tr><td>2358<\/td><td>P249-T<\/td><td>Organisation-wide data discovery at the European Bioinformatics Institute<\/td><td>Matthew Pearce, Prasad Basutkar, Ossama Edbali, Anton Kolesnikov, Henning Hermjakob and Rodrigo Lopez<\/td><\/tr><tr><td>8039<\/td><td>P250-T<\/td><td>PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases<\/td><td>Tianyuan Liu, Pedro Salguero, Marko Petek, Carlos Martinez-Mira, Leandro Balzano-Nogueira, \u017diva Ram\u0161ak, Lauren McIntyre, Kristina Gruden, Sonia Tarazona and Ana Conesa<\/td><\/tr><tr><td>9080<\/td><td>P251-T<\/td><td>Predicting clinical response to immunotherapy in advanced melanoma<\/td><td>Matthieu Genais, Bruno S\u00e9gui, Anne Montfort and Vera Pancaldi<\/td><\/tr><tr><td>6768<\/td><td>P252-T<\/td><td>Secured and annotated execution of workflows with WfExS-backend<\/td><td>Jos\u00e9 M. Fern\u00e1ndez, Laura Rodr\u00edguez-Navas and Salvador Capella-Gutierrez<\/td><\/tr><tr><td>1139<\/td><td>P253-T<\/td><td>SMASCH: Facilitating multi-appointment scheduling in longitudinal clinical research studies and care programs.<\/td><td>Carlos Vega, Piotr Gawron, Jacek Lebioda, Valentin Grou\u00e8s, Rejko Kr\u00fcger, Reinhard Schneider and Venkata Satagopam<\/td><\/tr><tr><td>7424<\/td><td>P254-T<\/td><td>The Bioinfo4Women Research Working Group on Sex and Gender Bias in Healthcare and AI<\/td><td>Atia Cort\u00e9s Mart\u00ednez, Davide Cirillo, Maria Jos\u00e9 Rementeria and Nataly Buslon<\/td><\/tr><tr><td>9077<\/td><td>P255-T<\/td><td>The ELIXIR::GA4GH Cloud<\/td><td>Alexander Kanitz, Justin Clark-Casey, Michael Crusoe, Gavin Farrell, Alvaro Gonzalez, Thanasis Vergoulis and Jonathan Tedds<\/td><\/tr><tr><td>9980<\/td><td>P256-T<\/td><td>The Job Dispatcher sequence analysis tools services from EMBL-EBI in 2022<\/td><td>F\u00e1bio Madeira, Joon Lee, Adrian Tivey, Nandana Madhusoodanan, Sarah Butcher and Rodrigo Lopez<\/td><\/tr><tr><td>1283<\/td><td>P257-T<\/td><td>The Service Collections of the ELIXIR Rare Disease Community<\/td><td>Emidio Capriotti, David Salgado, Friederike Ehrhart, Allegra Via, Claudio Carta, Marko Vidak, Rare Disease Community Contributors And Work Package Leaders, Marco Roos and Sergi Beltran<\/td><\/tr><tr><td>6207<\/td><td>P258-T<\/td><td>VaRHC: an R package for semi-automate ACMG\/AMP variant classification on hereditary cancer genes according to gene-specific ClinGen guidelines<\/td><td>Elisabet Munt\u00e9, Lidia Feliubadal\u00f3, Marta Pineda, Eva Tornero, Maria Isabel Gonz\u00e1lez-Acosta, Carla Roca, Jose Marcos Moreno-Cabrera, Concepci\u00f3n L\u00e1zaro and Jose Luis Mosquera<\/td><\/tr><tr><td>4360<\/td><td>P259-T<\/td><td>Whole-genome sequencing analysis of food enzyme products reveals contaminations with genetically modified microorganism of related origin<\/td><td>Jolien D&#8217;Aes, Marie-Alice Fraiture, Bert Bogaerts, Sigrid C.J. De Keersmaecker, Nancy H.C. Roosens and Kevin Vanneste<\/td><\/tr><tr><td>9788<\/td><td>P260-T<\/td><td>WiNGS: Widely integrated NGS platform for federated genome analysis<\/td><td>Haleh Chizari, Nasim Lalani Shabani, Nishkala Sattanathan, Geert Vandeweyer and Yves Moreau<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div class=\"wp-block-stackable-button-group anclas stk-block-button-group stk-block stk-12a36c4\" data-block-id=\"12a36c4\"><style>.stk-12a36c4{margin-top:50px !important}.stk-12a36c4 .stk-button-group{flex-wrap:wrap !important}<\/style><div class=\"stk-row stk-inner-blocks has-text-align-left stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-7a54e11\" data-block-id=\"7a54e11\"><style>.stk-7a54e11 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-7a54e11 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-7a54e11 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-7a54e11 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-7a54e11 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-7a54e11 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-7a54e11 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-data\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Data<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-2b5f9c7\" data-block-id=\"2b5f9c7\"><style>.stk-2b5f9c7 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-2b5f9c7 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-2b5f9c7 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-2b5f9c7 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-2b5f9c7 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-2b5f9c7 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-2b5f9c7 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-38ef707\" data-block-id=\"38ef707\"><style>.stk-38ef707 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-38ef707 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-38ef707 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-38ef707 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-38ef707 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-38ef707 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-38ef707 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-genomes\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Genomes<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-fae3bdf\" data-block-id=\"fae3bdf\"><style>.stk-fae3bdf .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-fae3bdf .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-fae3bdf .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-fae3bdf .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-fae3bdf .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-fae3bdf .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-fae3bdf .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-proteins\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Proteins<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-62f7ad0\" data-block-id=\"62f7ad0\"><style>.stk-62f7ad0 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-62f7ad0 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-62f7ad0 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-62f7ad0 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-62f7ad0 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-62f7ad0 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-62f7ad0 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-systems\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Systems<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-e1b3d69\" data-block-id=\"e1b3d69\"><style>.stk-e1b3d69 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-e1b3d69 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-e1b3d69 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-e1b3d69 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-e1b3d69 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-e1b3d69 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-e1b3d69 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-climate\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Climate Crisis and Health<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-35f7798\" data-block-id=\"35f7798\"><style>.stk-35f7798 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-35f7798 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-35f7798 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-35f7798 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-35f7798 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-35f7798 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-35f7798 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-applications\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Applications<\/span><\/a><\/div>\n\n\n\n<div class=\"wp-block-stackable-button stk-block-button stk-block stk-841c9a0\" data-block-id=\"841c9a0\"><style>.stk-841c9a0 .stk-button{background:var(--paletteColor1,#ffffff) !important}.stk-841c9a0 .stk-button:hover:after{background:var(--paletteColor2,#f7b032) !important;opacity:1 !important}.stk-841c9a0 .stk-button{border-radius:5px !important;overflow:hidden !important}.stk-841c9a0 .stk-button:before{border-style:solid !important;border-color:var(--paletteColor4,#0081a7) !important;border-top-width:1px !important;border-right-width:1px !important;border-bottom-width:1px !important;border-left-width:1px !important}.stk-841c9a0 .stk-button:hover:before{border-color:var(--paletteColor2,#f7b032) !important}.stk-841c9a0 .stk-button__inner-text{color:var(--paletteColor4,#0081a7) !important}.stk-841c9a0 .stk-button:hover .stk-button__inner-text{color:var(--paletteColor1,#ffffff) !important}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"#h-training\"><span class=\"has-text-color has-palette-color-4-color stk-button__inner-text\">Training<\/span><\/a><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block stk-efba7f3\" id=\"h-training\" data-block-id=\"efba7f3\"><style>.stk-efba7f3 .stk-block-heading__bottom-line{height:2px !important;width:50px !important;background-color:var(--paletteColor4,#0081a7) !important;margin-top:20px !important}<\/style><h2 class=\"stk-block-heading__text\">Training<\/h2><div class=\"stk-block-heading__bottom-line\"><\/div><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes tabla-pres\"><table><tbody><tr><td>Ref.<\/td><td>Poster N\u00ba<\/td><td>Title<\/td><td>Authors<\/td><\/tr><tr><td>9898<\/td><td>P264-M<\/td><td>Bioinformatics core facility management training &#8211; availability and challenges<\/td><td>Eva Alloza, Ezgi Karaca, Salvador Capella-Guti\u00e9rrez, Cath Brooksbank and Patricia Carvajal-L\u00f3pez<\/td><\/tr><tr><td>1053<\/td><td>P265-M<\/td><td>Community building and training in the EMBL Bio-IT project<\/td><td>Renato Alves and Lisanna Paladin<\/td><\/tr><tr><td>5405<\/td><td>P266-M<\/td><td>ELIXIR-hCNV: Galaxy workflows and training<\/td><td>Khaled Jumah, Katarzyna Kamienicka, Wolfgang Maier, David Salgado, Christophe B\u00e9roud, Michael Baudis, Steven Laurie, Tim Beck, Salvador Capella-Gutierrez, Bj\u00f6rn Gr\u00fcning and Krzysztof Poterlowicz<\/td><\/tr><tr><td>1143<\/td><td>P267-M<\/td><td>ELIXIR-UK DaSH: A Fellowship of data stewards<\/td><td>Xenia Perez Sitja, Robert Andrews, Sara Khalil, Branka Franicevic, Catherine Knox, Munazah Andrabi, Shoaib Sufi, Neil Hall, Susanna-Assunta Sansone, Carole Goble and Krzysztof Poterlowicz<\/td><\/tr><tr><td>9922<\/td><td>P268-M<\/td><td>GOBLET: Unite, inspire and equip Bioinformatics Trainers worldwide<\/td><td>Javier De Las Rivas, Eija Korpelainen, Annette McGrath, Asif M. Khan and Celia W.G. van Gelder<\/td><\/tr><tr><td>145<\/td><td>P261-T<\/td><td>Investigating Student Sense of Belonging in Biology and Computer Science<\/td><td>Shamima Runa, Brett Becker and Catherine Mooney<\/td><\/tr><tr><td>4223<\/td><td>P262-T<\/td><td>The Bioinfo4Women International Pilot Mentoring Programme for Young Scientists<\/td><td>Alba Jene-Sanz, Olfat Khannous-Lleiffe, Othmane Hayoun-Mya, Maria Sopena-Rios, Mireia Codina-Tob\u00edas, Eva Alloza, \u00c0tia Cort\u00e9s and Maria Jos\u00e9 Rementeria<\/td><\/tr><tr><td>2690<\/td><td>P263-T<\/td><td>The EOSC-Life Training programme as a tool for bringing together a community of practice<\/td><td>Daniel Thomas-Lopez, Rebecca Ludwig and Vera Matser<\/td><\/tr><tr><td>369<\/td><td>P264-T<\/td><td>The new Community of Practice for Data Management\/Data Stewardship Training<\/td><td>Helena Schnitzer, Nils-Christian L\u00fcbke, Irena Maus, Tanja Dammann-Kalinowski, Robert Andrews, Alexia Cardona, Fatima Nazeefa, Celia van Gelder, Mijke Jetten, Brane L. Leskosek, Jessica Lindvall, Ana Portugal Melo, Wolmar Nyberg \u00c5kerstr\u00f6m, Krzysztof Poterlowicz, Olivier Sand, Andreas Tauch, Marko Vidak and Daniel Wibberg<\/td><\/tr><tr><td>3188<\/td><td>P265-T<\/td><td>The new de.NBI \/ ELIXIR-DE training platform in 2022<\/td><td>Daniel Wibberg, Nils Christian L\u00fcbke, Andreas Tauch and Helena Schnitzer<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>General information for posters The&nbsp; two poster sessions scheduled within the ECC2022 programme will take place on Monday, 19 Sept. and Tuesday, 20 Sept., from 17:30h to 19:30h.&nbsp; All posters will be displayed at the room Tramuntana 3 (groundfloor). The presenting authors are required to give their presentation in-person from the conference venue during the session where they have been assigned. Material to fix the posters on the panels will be available in the poster area (double-sided tape). Each poster will be displayed on the day of the poster session only, (either on Monday or Tuesday). The posters should be\u2026<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":4}},"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable":"<p>General information for posters The&nbsp; two poster sessions scheduled within the ECC2022 programme will take place on Monday, 19 Sept. and Tuesday, 20 Sept., from 17:30h to 19:30h.&nbsp; All posters will be displayed at the room Tramuntana 3 (groundfloor). The presenting authors are required to give their presentation in-person from the conference venue during the session where they have been assigned. Material to fix the posters on the panels will be available in the poster area (double-sided tape). Each poster will be displayed on the day of the poster session only, (either on Monday or Tuesday). The posters should be&hellip;<\/p>\n","category_list":"","author_info":{"name":"eccb2022","url":"https:\/\/eccb2022.org\/author\/eccb2022\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages\/2905"}],"collection":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/comments?post=2905"}],"version-history":[{"count":81,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages\/2905\/revisions"}],"predecessor-version":[{"id":3100,"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/pages\/2905\/revisions\/3100"}],"wp:attachment":[{"href":"https:\/\/eccb2022.org\/wp-json\/wp\/v2\/media?parent=2905"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}