C-S.B.07: MetaNetX: enhancing metabolomics data integration through comprehensive reconciliation
Integrating metabolomics with other omics and computational models
provides a holistic view of biological systems. MetaNetX
(https://www.metanetx.org) plays a key role by reconciling metabolites
and biochemical reactions across major databases (ChEBI, HMDB,
KEGG, MetaCyc, Reactome, SwissLipids, LIPID MAPS, etc.), creating a
unified namespace for annotation and cross-referencing.
Despite challenges such as incomplete stereochemistry and database
inconsistencies, MetaNetX uses molecular structures and reaction
context to improve accuracy, with manual curation for critical cases.
The resource is freely available as raw files, via SPARQL, and through an
ID mapping tool, supporting systems biology and metabolomics
research.
Co-authors: Anne Niknejad, Marco Pagni, Florence Mehl
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