COBRAxy: constraint-based metabolic modeling in Galaxy.

ABSTRACT:

Motivation

Metabolic network modeling is essential for understanding metabolic shifts occurring in complex physio-pathological processes. Currently, constraint-based modeling frameworks for metabolic networks primarily rely on Python or MATLAB libraries, requiring some coding skills. In contrast, more user-friendly tools lack essential features such as flux sampling or transcriptomic data integration.

Results

We introduce COBRAxy, a Python-based tool suite integrated into the Galaxy Project. COBRAxy enables constraint-based modeling and sampling techniques, allowing users to compute metabolic flux distributions for multiple biological samples. The tool also enables the integration of medium composition information to refine flux predictions. Additionally, COBRAxy provides a

SUBMITTER: Lapi F 

PROVIDER: S-EPMC12926780 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature