What is metano?
is an open-source software toolbox for analyzing the capabilities of metabolic networks and for
assisting in metabolic reconstruction. The software is written in Python and is designed to be easy to use and run
reasonably fast. contains efficient implementations of the established computational methods flux
balance analysis (FBA), minimization of metabolic adjustment (MOMA), and flux variability analysis (FVA), as well
as a script for automatically analyzing all specified single- or multi-gene knockouts using MOMA or FBA, respectively.
In addition, provides several newly developed methods, including the automated plausibility checking of
metabolic models and methods for the metabolite-centric analysis of flux distributions (see
All methods implemented in MPI, which allows their execution
on computer clusters.
are available both as Python functions and as stand-alone command line
scripts, which take lists of reactions in plain ASCII format as input. is designed to run in any Linux
environment. Algorithms with a long running time have been parallelized using
As all tools are available as stand-alone scripts that require no adjustment of numerical parameters,
very easy to use by modelers without any programming experience.
The current release of PyPI You can follow the Installation instructions for Linux distributions
or you can run metano in a Docker container with openSUSE as guest OS.
is available on
A quick reference for almost all here.
functions can be found
If you intend to use
for your own published work, we kindly ask that you cite our most recent paper:
Riemer SA, Rex R, Schomburg D. A metabolite-centric view on flux distributions in genome-scale metabolic models. BMC Syst Biol, 7:33 (2013). Free full text