...to make work easier, faster and more reproducible
Computational Systems Biology, RWTH Aachen
| Project | Description |
|---|---|
MxlPy  |
Easily build mechanistic learning models |
MxlModels  |
Python package of reference mechanistic models |
MxlBricks  |
Combine reaction bricks to quickly build larger models |
MxlWeb  |
Experimental toolbox to run ODE models in the browser |
GreenSloth  |
Interactive, client-side explorer for photosynthesis ODE models |
PySBML  |
Make SBML models simpler |
absorpig  |
Extract pigment composition of measured absorption spectra of photosynthetic organisms |
CpblDesign  |
CPBL corporate design |
Parameteriser  |
Interface parameter databases like BRENDA for kinetic model parameterisation |
| Project | Description |
|---|---|
modelbase  |
Build & simulate metabolic networks including isotope-labelled versions |
qtbmodels  |
Precursor to MxlBricks |
moped  |
Integrative hub for reproducible construction, modification, curation and analysis of genome-scale metabolic models |
dismo  |
Build and analysing discrete spatial models based on ordinary differential equations |
matplotlib cookbook  |
Small collection of recipes for matplotlib |
difai  |
Did I forget any imports? updates your requirements file |
hue sunrise  |
Enjoy waking up more gently by having your philips hue lights simulate a sunrise |
cycparser py & rs  |
Parse MetaCyc, BioCyc or some other *cyc flatfiles |