J. Comput. Biol. - Inferring mechanisms of compensation from E-MAP and SGA data using local search algorithms for max cut.

Tópicos

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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

A new method based on a mathematically natural local search framework for max cut is developed to uncover functionally coherent module and BPM motifs in high-throughput genetic interaction data. Unlike previous methods, which also consider physical protein-protein interaction data, our method utilizes genetic interaction data only; this becomes increasingly important as high-throughput genetic interaction data is becoming available in settings where less is known about physical interaction data. We compare modules and BPMs obtained to previous methods and across different datasets. Despite needing no physical interaction information, the BPMs produced by our method are competitive with previous methods. Biological findings include a suggested global role for the prefoldin complex and a SWR subcomplex in pathway buffering in the budding yeast interactome.

Resumo Limpo

new method base mathemat natur local search framework max cut develop uncov function coher modul bpm motif highthroughput genet interact data unlik previous method also consid physic proteinprotein interact data method util genet interact data becom increas import highthroughput genet interact data becom avail set less known physic interact data compar modul bpms obtain previous method across differ dataset despit need physic interact inform bpms produc method competit previous method biolog find includ suggest global role prefoldin complex swr subcomplex pathway buffer bud yeast interactom

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