Python package to study microbial communities using metabolic modeling.
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Updated
May 31, 2024 - Python
Python package to study microbial communities using metabolic modeling.
COnstraint-based Reconstruction and Analysis (COBRA) of metabolic networks in R
Informed prediction and analysis of bacterial metabolic pathways and genome-scale networks
Automatic fitting of growth models to growth data
The RAVEN Toolbox for genome scale model reconstruction, curation and analysis.
The consensus GEM for Saccharomyces cerevisiae
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
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!
A Universal Modeling Language for Metabolic Flux Analysis
Estimation of extracellular fluxes and growth rate
🗺️ A repository of CNApy projects
An implementation of genome-scale model reconstruction using Cost Optimization Reaction Dependency Assessment by Schultz et. al
COBRApy is a package for constraint-based modeling of metabolic networks.
From annotated genomes to metabolic screening in large scale microbiotas
Minimal Supplying Community Search with constraint-based optimization methods.
ScyNet: Visualisation of community metabolic models in Cytoscape
Expression, biological and clinical relevance of the collagen pathway genes in prostate carcinoma
Infer metabolic directions from moment differences of mass-weighted intensity distributions
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