Getting Started =============== Installation --------------- BasiCO is is finally available in pypi: .. code-block:: bash pip install copasi-basico however you can pip install it using: .. code-block:: bash pip install git+https://github.com/copasi/basico.git Currently there is one additional package available that provides support for PEtab and petab-select, that can be installed using .. code-block:: bash pip install copasi-basico[petab] or .. code-block:: bash pip install git+https://github.com/copasi/basico.git#egg=basico[petab] Use the package --------------- To start using the package, you simply import it: .. code-block:: python >>> from basico import * Loading a Model --------------- You can load either COPASI, or SBML files directly using the :func:`.load_model` command: .. code-block:: python >>> load_model('brusselator.cps') You can also load a model by providing a URL: .. code-block:: python >>> load_model('https://fairdomhub.org/models/287/download?version-1') We also provide a number of example models, that you can directly load with the installation. See :func:`.get_examples` and :func:`.load_example`. Models from the BioModels Database and JWS can also be directly loaded ( :mod:`.jws_online`, :mod:`.biomodels`, :func:`.load_biomodel`) .. code-block:: python >>> load_biomodel(206) Interrogating the Model ----------------------- To find out what is in a model, you could use the corresponding functions: * :func:`.get_species` * :func:`.get_reactions` * :func:`.get_parameters` * :func:`.get_compartments` Analogous you can also set all of these, by providing the name of the element to modify: * :func:`.set_species` * :func:`.set_reaction` * :func:`.set_parameters` * :func:`.set_compartment` New elements are added with: * :func:`.add_species` * :func:`.add_reaction` * :func:`.add_parameter` * :func:`.add_compartment` And removed with: * :func:`.remove_species` * :func:`.remove_reaction` * :func:`.remove_parameter` * :func:`.remove_compartment` Analyzing the Model ------------------- Currently the following analysis tasks have been included: * :mod:`.task_timecourse` * :mod:`.task_steadystate` * :mod:`.task_parameterestimation` Saving a Model --------------- Saving a model, is done by calling :func:`.save_model`: .. code-block:: python >>> save_model('model_3.cps') will save the file `model_3.cps` in the current folder. To export the model to SBML use: .. code-block:: python >>> save_model('model_3.xml', type-'sbml')