Metadata-Version: 2.1
Name: cobramod
Version: 1.0.0
Summary: Python package for pathway-centric modification and extension of genome-scale metabolic networks
Home-page: https://github.com/Toepfer-Lab/cobramod
Author: Stefano Camborda La Cruz, Jan-Niklas Weder, Nadine Töpfer
Author-email: toepfer@ipk-gatersleben.de
License: GPL v.3.0
Project-URL: Documentation, https://cobramod.readthedocs.io/
Project-URL: Bug Tracker, https://github.com/Toepfer-Lab/cobramod/issues
Keywords: genome-scale metabolic model,constraint-based modelling,COBRApy,Escher,metabolic model curation
Platform: 
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.7.4
Description-Content-Type: text/x-rst
License-File: LICENSE


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CobraMod: A pathway-centric curation tool for constraint-based metabolic models
===============================================================================

![image](https://raw.githubusercontent.com/Toepfer-Lab/cobramod/master/docs/source/img/logo.png)

CobraMod is a Python 3 open-source package for pathway-centric curation
of genome-scale metabolic models (GEMs). It builds upon the [COBRApy
toolbox](https://opencobra.github.io/cobrapy/) and offers a
comprehensible set of functions for semi-automated network extension,
curation and visualization. CobraMod supports all databases from the
[BioCyc collection](https://biocyc.org/), the [KEGG
database](https://www.genome.jp/kegg/), and the [BiGG Models
repository](http://bigg.ucsd.edu/) and can directly interact with Escher
for pathway and flux visualization.

This package converts pathway information into native COBRApy objects
and quality-checks them while adding them to the model. This includes
testing for:

-   duplicate elements
-   correct chemical formula
-   mass balance of reactions
-   reaction reversibility
-   capability to carry non-zero fluxes
-   adding available gene information

CobraMod offers user-friendly tracking of the curation process with
summary output and log files and customized pathway and flux
visualization with [Escher](https://escher.github.io/).

Installation
------------

CobraMod can easily be installed using pip :

    pip install cobramod

Functions
---------

This package offers multiple functions for modifying and extending GEMs:

-   Retrieve metabolic pathway information from a database
    `cobramod.get_data`
-   Transform stored data into COBRApy objects `cobramod.create_object`
-   Add metabolites from multiple sources `cobramod.add_metabolites`
-   Add reactions from multiple sources `cobramod.add_reactions`
-   Test reaction capability to carry a non-zero flux
    `cobramod.test_non_zero_flux`
-   Add pathway to a model `cobramod.add_pathway`

Check the [documentation](https://cobramod.readthedocs.io/) for more
information.

License
-------

CobraMod is licensed under the GPL-3 License. Read the
[LICENSE](https://github.com/Toepfer-Lab/cobramod/blob/master/LICENSE)
for more information.

Development
-----------

You can contribute to CobraMod by cloning the repository and installing
it in developer mode using pip :

    pip install -e .

A conda environment file is supplied (*environment.yml*). This file
contains all the dependencies to ensure reproducibility of the package.
We encourage pull requests. CobraMod uses unit testing and new tests are
welcome.

To report bugs and suggestions, please create an issue using the
corresponding tags at <https://github.com/Toepfer-Lab/cobramod/issues>.


