Related Experiment Video
Updated: Jun 15, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
Published on: December 4, 2021
RSEA: A Web Server for Pathway Enrichment Analysis of Metabolic Reaction Sets
Merve Yarıcı1, Furkan Cantürk2, Serdar Dursun3
1Department of Bioengineering, Istanbul Medeniyet University, Istanbul, Turkey.
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/).
Related Concept Videos
Fast Reactions
Reaction Mechanisms: Rate-limiting Step Approximation
Response Surface Methodology
The process of RSM involves several key steps:
RACE - Rapid Amplification of cDNA Ends
Since the...
Measuring Reaction Rates
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

