💎 An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
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Updated
May 13, 2026 - Python
💎 An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
scCellFie infers metabolic activities from single-cell and spatial transcriptomics and offers a variety of downstream analyses.
Pathway-Guided Pruning Reconstruction of Genome-Scale Metabolic Models
University of Cambridge Part III Systems Biology course, practical exercises for learning flux balance analysis
Python toolbox for gene expression-based prediction of metabolic alterations at genome-scale
Machine learning pipeline for genome-scale metabolic engineering and intervention ranking in E. coli using COBRApy and FBA.
A bioinformatics tool that integrates gene expression data with metabolic models for pathway-level disease analysis. Extends Metabolitics for more comprehensive systems biology analysis.
Flux Balance Analysis of E. coli Core Model using COBRApy | Systems Biology & Data Science
Species-agnostic pipeline that builds a pangenome-reference metabolic model and rapidly derives consistent, gap-filled strain-specific genome-scale models from bacterial genomes.
Hands-on workshop for genome-scale metabolic model reconstruction using gapseq with Google Colab.
Rust reimplementation of gapseq — informed prediction and analysis of bacterial metabolic pathways and genome-scale networks. ~3× faster on pathway detection, in-process LP solver, single static binary.
COBRApy JSON reconstruction of CHOmpact — a reduced metabolic model of CHO cells with IgG product quality outputs (Jiménez del Val et al. 2023).
A paper on using event sourcing in computational systems biology.
GUI for GEMCAT Algorithm
Context specific metabolic model generation. Done @ Dräger lab, MLU-Halle
Lernprojekt zum Umgang mit dem **CellNetAnalyzer (CNA)** in MATLAB. Ziel ist es, den Import und die Analyse eines stöchiometrischen Modells zu demonstrieren.
A lightweight, retro-compatible Python virtual pet simulator implementing a formal hybrid Sensing-to-Action Cycle under Thermodynamic Constraints (SATC) dynamical system.
This repository explores the geometric stability of complex biochemical networks using the VNAE framework.
Growth-Based Classification of COVID-19 Using E. coli Metabolic Sensors
Copy of SPICEM (Spatial Inference of Cellular Environments via Metabolic Modeling) repository for sharing
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