Compute minimal metabolic precursors sets that enable the production of target metabolites.
Project description
Installation
============
You can install precursor by running::
$ pip install --user precursor
Usage
=====
Typical usage is::
$ precursor.py --autoseeds network targets
For more options you can ask for help as follows::
$ precursor.py --help
usage: precursor.py [-h] [--autoseeds] net inputs
positional arguments:
net metabolic network in SBML format
inputs targets in XML format
optional arguments:
-h, --help show this help message and exit
--autoseeds compute possible seed metabolites
Samples
=======
An archive with sample files is available here:
precursor_data.tar.gz_
.. _precursor_data.tar.gz: http://bioasp.github.io/downloads/samples/precursor_data.tar.gz
============
You can install precursor by running::
$ pip install --user precursor
Usage
=====
Typical usage is::
$ precursor.py --autoseeds network targets
For more options you can ask for help as follows::
$ precursor.py --help
usage: precursor.py [-h] [--autoseeds] net inputs
positional arguments:
net metabolic network in SBML format
inputs targets in XML format
optional arguments:
-h, --help show this help message and exit
--autoseeds compute possible seed metabolites
Samples
=======
An archive with sample files is available here:
precursor_data.tar.gz_
.. _precursor_data.tar.gz: http://bioasp.github.io/downloads/samples/precursor_data.tar.gz
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