COBRApy is a package for constraint-based modeling of metabolic networks.

The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:

💎 An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

Informed prediction and analysis of bacterial metabolic pathways and genome-scale networks

memote – the genome-scale metabolic model test suite

The RAVEN Toolbox for genome scale model reconstruction, curation and analysis.

The consensus GEM for Saccharomyces cerevisiae

Python package to study microbial communities using metabolic modeling.

Infer metabolic directions from moment differences of mass-weighted intensity distributions

SMETANA: a tool to analyse interactions in microbial communities

From annotated genomes to metabolic screening in large scale microbiotas

An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!

Curation and analysis of metabolic models

A COBRApy extension for genome-scale models of metabolism and expression (ME-models)

Generate biomass objective function stoichiometric coefficients for genome-scale models from experimental data

Materials and presentation for the 2022 ISB Microbiome course.

KEGG Module Evaluation Tool

An implementation of genome-scale model reconstruction using Cost Optimization Reaction Dependency Assessment by Schultz et. al

R package to Import and Modify SVG (XML) Graphic Files

The aim of this repository is to maintain, refine, and expand the AGORA collection of genome-scale metabolic reconstructions for human gut microbes through the use of issues. Please note that pull requests will be automatically closed.