IDSL.GOA: Gene Ontology Analysis for Interpreting Metabolomic datasets.

ABSTRACT: Biological interpretation of metabolomic datasets often ends at a pathway analysis step to find the over-represented metabolic pathways in the list of statistically significant metabolites. However, definitions of biochemical pathways and metabolite coverage vary among different curated databases, leading to missed interpretations. For the lists of genes, transcripts and proteins, Gene Ontology (GO) terms over-presentation analysis has become a standardized approach for biological interpretation. But, GO analysis has not been achieved for metabolomic datasets. We present a new knowledgebase (KB) and the online tool, Gene Ontology Analysis by the Integrated Data Science Laboratory for Metabolomics and Exposomics (IDSL.GOA) to conduct GO over-representation analysis for a metabolite list. Th

SUBMITTER: Mahajan P 

PROVIDER: S-EPMC10081191 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature