Coev2Net – Boosting Confidence in High-throughput Protein-protein Interaction datasets

Coev2Net

:: DESCRIPTION

Coev2Net is a general framework to predict, assess and boost confidence in individual interactions inferred from a HTP experiment. For every pair of interaction in the HTP screen, Coev2Net provides a score to assess their likelihood of being co-evolved from interacting homologous sequences.

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::DEVELOPER

Bonnie Berger‘s group at MIT.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Perl

:: DOWNLOAD

 Coev2Net

:: MORE INFORMATION

Citation:

Genome Biol. 2012 Aug 31;13(8):R76.
A computational framework for boosting confidence in high-throughput protein-protein interaction datasets.
Hosur R, Peng J, Vinayagam A, Stelzl U, Xu J, Perrimon N, Bienkowska J, Berger B.