
doi: 10.5281/zenodo.10491748 , 10.5281/zenodo.7541481 , 10.5281/zenodo.10667288 , 10.5281/zenodo.8020222 , 10.5281/zenodo.10817330 , 10.5281/zenodo.10842637 , 10.5281/zenodo.15252864 , 10.5281/zenodo.7600464 , 10.5281/zenodo.7594824 , 10.5281/zenodo.7466984 , 10.5281/zenodo.8119635 , 10.5281/zenodo.7427142 , 10.5281/zenodo.7781995 , 10.5281/zenodo.7665294 , 10.5281/zenodo.15396273 , 10.5281/zenodo.7461954 , 10.5281/zenodo.7828786 , 10.5281/zenodo.10495349 , 10.5281/zenodo.10822194 , 10.5281/zenodo.10830032 , 10.5281/zenodo.10829611 , 10.5281/zenodo.10491784 , 10.5281/zenodo.10278026 , 10.5281/zenodo.7643336 , 10.5281/zenodo.16617744 , 10.5281/zenodo.14929519 , 10.5281/zenodo.10931021 , 10.5281/zenodo.8189386 , 10.5281/zenodo.10991141 , 10.5281/zenodo.10490136 , 10.5281/zenodo.7646616 , 10.5281/zenodo.11032472 , 10.5281/zenodo.18234171 , 10.5281/zenodo.16617255 , 10.5281/zenodo.11184094 , 10.5281/zenodo.10817657 , 10.5281/zenodo.7433634 , 10.5281/zenodo.5607657 , 10.5281/zenodo.7599883 , 10.5281/zenodo.7404839 , 10.5281/zenodo.11315904 , 10.5281/zenodo.7466966
doi: 10.5281/zenodo.10491748 , 10.5281/zenodo.7541481 , 10.5281/zenodo.10667288 , 10.5281/zenodo.8020222 , 10.5281/zenodo.10817330 , 10.5281/zenodo.10842637 , 10.5281/zenodo.15252864 , 10.5281/zenodo.7600464 , 10.5281/zenodo.7594824 , 10.5281/zenodo.7466984 , 10.5281/zenodo.8119635 , 10.5281/zenodo.7427142 , 10.5281/zenodo.7781995 , 10.5281/zenodo.7665294 , 10.5281/zenodo.15396273 , 10.5281/zenodo.7461954 , 10.5281/zenodo.7828786 , 10.5281/zenodo.10495349 , 10.5281/zenodo.10822194 , 10.5281/zenodo.10830032 , 10.5281/zenodo.10829611 , 10.5281/zenodo.10491784 , 10.5281/zenodo.10278026 , 10.5281/zenodo.7643336 , 10.5281/zenodo.16617744 , 10.5281/zenodo.14929519 , 10.5281/zenodo.10931021 , 10.5281/zenodo.8189386 , 10.5281/zenodo.10991141 , 10.5281/zenodo.10490136 , 10.5281/zenodo.7646616 , 10.5281/zenodo.11032472 , 10.5281/zenodo.18234171 , 10.5281/zenodo.16617255 , 10.5281/zenodo.11184094 , 10.5281/zenodo.10817657 , 10.5281/zenodo.7433634 , 10.5281/zenodo.5607657 , 10.5281/zenodo.7599883 , 10.5281/zenodo.7404839 , 10.5281/zenodo.11315904 , 10.5281/zenodo.7466966
basico is a collection of python utilities to create simplified python interface to COPASI. While all functionality from COPASI is exposed via automatically generated SWIG wrappers, this package aims to add a layer on top of that, to hide most of the complexity away when calling COPASI functions. Features include among others model creation time course simulation parameter fitting optimization parameter scan The documentation is available on basico.readthedocs.io If you have any questions or issues please open an issue Funding Frank Bergmann is supported by the Federal Ministry of Education and Research (BMBF, Germany) within the de.NBI research network (grant number 031L0104A).
python, modelling, COPASI, COMBINE, parameter estimation, simulation, optimization, SBML
python, modelling, COPASI, COMBINE, parameter estimation, simulation, optimization, SBML
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