Genecentric 1.0.3 – Uncover Graph-theoretic Structure in High-throughput Epistasis data

Genecentric 1.0.3

:: DESCRIPTION

Genecentric is a new package that implements a parallelized version of the Leiserson et al. algorithm (J Comput Biol 18:1399-1409, 2011) for generating generalized BPMs from high-throughput genetic interaction data. Given a matrix of weighted epistasis values for a set of double knock-outs, Genecentric returns a list of generalized BPMs that may represent compensatory pathways.

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::DEVELOPER

Bioinformatics and Computational Biology Research Group, Tufts University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsx/WIndows
  • Python

:: DOWNLOAD

 Genecentric

:: MORE INFORMATION

Citation:

Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data.
Gallant A, Leiserson MD, Kachalov M, Cowen LJ, Hescott BJ.
BMC Bioinformatics. 2013 Jan 18;14:23. doi: 10.1186/1471-2105-14-23.