Metadata-Version: 1.0
Name: meneco
Version: 1.5.0
Summary: Metabolic Network Completion. Compute minimal completions to your draft network with reactions from a repair network.
Home-page: http://bioasp.github.io/meneco/
Author: Sven Thiele
Author-email: sthiele78@gmail.com
License: GPLv3+
Description: Installation
        ============
        
        
        You can install meneco by running::
        
        	$ pip install --user meneco
        
        On Linux the executable script can then be found in ``~/.local/bin``
        
        and on MacOS the script is under ``/Users/YOURUSERNAME/Library/Python/3.2/bin``.
        
        
        Usage
        =====
        
        Typical usage is::
        
        	$ meneco.py -d draftnetwork.sbml -s seeds.sbml -t targets.sbml -r repairnetwork.sbml 
        
        For more options you can ask for help as follows::
        
                $meneco.py --h
                usage: meneco.py [-h] -d DRAFTNET -s SEEDS -t TARGETS [-r REPAIRNET]
                                 [--enumerate]
        
                optional arguments:
                  -h, --help            show this help message and exit
                  -d DRAFTNET, --draftnet DRAFTNET
                                        metabolic network in SBML format
                  -s SEEDS, --seeds SEEDS
                                        seeds in SBML format
                  -t TARGETS, --targets TARGETS
                                        targets in SBML format
                  -r REPAIRNET, --repairnet REPAIRNET
                                        perform network completion using REPAIRNET a metabolic
                                        network in SBML format
                  --enumerate           enumerate all minimal completions
        
        
        Samples
        =======
        
        Sample files for the reconstruction of ectocarpus are available here: ectocyc.sbml_, metacyc_16-5.sbml_, seeds.sbml_, targets.sbml_
        
        .. _ectocyc.sbml: http://bioasp.github.io/downloads/samples/ectodata/ectocyc.sbml
        .. _metacyc_16-5.sbml: http://bioasp.github.io/downloads/samples/ectodata/metacyc_16-5.sbml
        .. _seeds.sbml: http://bioasp.github.io/downloads/samples/ectodata/seeds.sbml
        .. _targets.sbml: http://bioasp.github.io/downloads/samples/ectodata/targets.sbml
        
Platform: UNKNOWN
