optGpSampler 1.1 – Sampling Constraint-based Genome-scale Metabolic Networks

optGpSampler 1.1

:: DESCRIPTION

OptGpSampler is a parallel implementation of the Artificial Centering Hit-and-Run algorithm. With this tool, you can efficiently sample the steady-state solution space of a metabolic network.

::DEVELOPER

optGpSampler team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows
  • MatLab
  • Python

:: DOWNLOAD

  optGpSampler

:: MORE INFORMATION

Citation

PLoS One. 2014 Feb 14;9(2):e86587. doi: 10.1371/journal.pone.0086587. eCollection 2014.
optGpSampler: an improved tool for uniformly sampling the solution-space of genome-scale metabolic networks.
Megchelenbrink W, Huynen M, Marchiori E