ArticleBiotechnology and bioengineering2025
RSEA: A Web Server for Pathway Enrichment Analysis of Metabolic Reaction Sets.
Article in Biotechnology and bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- DAVID: a web server for functional annotation and functional enrichment analysis of gene lists (2025 update).Nucleic acids research · 2026Article
- Integrated Bioinformatic and Molecular Characterization of the miR-4303/miR-4291-MAPK1 Axis in Oral Squamous Cell Carcinoma.Cancer informatics · 2026Article
- Article
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5 authors.
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Abstract
Changes in biological pathways provide essential clues about metabolism. Genome-scale metabolic models (GEM) are network-based templates that computationally describe all stoichiometric associations and gene-protein reaction (GPR) relations found in an organism for all its metabolic genes and metabolites. Using reaction stoichiometry as input, GEMs mathematically simulate metabolic reaction fluxes occurring in an organism and predict changes in the metabolic system under the relevant condition. Multiple tools and approaches in the literature can capture fluxes sensitive to a given condition by using GEMs. However, functional enrichment analysis of these reaction lists in a systems biology perspective is not straightforward. Here, we introduce RSEA to annotate given reaction sets to significantly related metabolic pathways: Reaction Set Enrichment Analysis web server tool. RSEA converts given reaction list derived from GEMs into proper reaction identifiers and statistically analyze its enrichment in metabolic pathways. RSEA is designed to provide researchers with a practical and user-friendly platform to explore and interpret sets of reactions in biological pathways and freely available online (https://rseatool.com/).
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