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.
Bonnie Berger‘s group at MIT.
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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.