AMBIENT 1.3 – Find Active Modules in Metabolic Networks using High-throughput data

AMBIENT 1.3

:: DESCRIPTION

AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism.

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:DEVELOPER

The research in the Theoretical Systems Biology Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python

:: DOWNLOAD

  AMBIENT

:: MORE INFORMATION

Citation:

AMBIENT: Active Modules for Bipartite Networks–using high-throughput transcriptomic data to dissect metabolic response.
Bryant WA, Sternberg MJ, Pinney JW.
BMC Syst Biol. 2013 Mar 25;7:26. doi: 10.1186/1752-0509-7-26.