BioASP

BioASP's repositories

Reasoning on the response of logical signaling networks with Answer Set Programming

Language:PythonGPL-3.012 4 13

:m: Metabolic network completion

Language:Jupyter NotebookGPL-3.09 10 12

Synthesis of Most Permissive Boolean Networks from network architecture and dynamical properties

Language:PythonNOASSERTION6 50

:arrow_upper_right: Influence graph analysis, consistency check, diagnosis, repair and prediction

Language:RustGPL-3.05 3 3

Influence graph analysis, consistency check, diagnosis, repair and prediction

Language:PythonGPL-3.04 3 2

Boolean network inference from time series data with perturbations

Language:Python2 50

Compute minimal metabolic precursors sets that enable the production of target metabolites

Language:PythonGPL-3.02 30

BioASP software collection

Language:PythonGPL-3.01 30

Design experiments to differentiate interaction graph models

Language:TeXGPL-3.01 30

a simple gui for meneco

Language:PythonGPL-3.01 30

Website for the BioASP software collection

Language:HTML040

Language:Jupyter Notebook050

meneco++

Language:Python080

MERRIN - MEtabolic Regulation Rule INference

Language:Python050

Language:Jupyter Notebook050

Finding shortest genome segments that regulate metabolic pathways

Language:PythonGPL-3.0030