About this project
Description from the program archive
MaREA4Galaxy is a user-friendly tool designed to facilitate the characterization and graphical comparison of sample groups exhibiting distinct transcriptional regulation of metabolism, as inferred from cross-sectional RNA-seq data. The overarching goal of this project is to enhance the MaREA4Galaxy environment by integrating various omics data types, such as gene expression, proteomics, and metabolomics, enabling researchers worldwide to conduct constraint-based enrichment analyses of metabolic pathways.
The key enhancements include two primary features:
1. Flux Sampling Interface: This feature provides users with the capability to sample fluxes through cobra models utilizing methods like CHRR (Coordinate Hit and Run with Rounding) and CBS (Corner Based Sampling).
2. Feature Loading Interface: Users can load diverse features for a given set of samples, including RNA-seq data, RAS data, sampled fluxes, metabolomics, and proteomics, initiating a clustering analysis. Subsequently, leveraging the MaREA tool, enriched metabolic maps are generated. Additionally, users gain the ability to compare different clusters derived from the input datasets.