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Article

Predicting cancer-associated germline variations in proteins.

BMC genomics - 18 Jun 2012

Martelli Pier Luigi, Fariselli Piero, Balzani Eva, Casadio Rita

Abstract excerpt

BACKGROUND: Various computational methods are presently available to classify whether a protein variation is disease-associated or not. However data derived from recent technological advancements make it feasible to extend the annotation of disease-associated variations in order to include specific phenotypes. Here we tackle the problem of distinguishing between genetic variations associated to cancer and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 22759656
DOI: 10.1186/1471-2164-13-S4-S8
PMCID: PMC3372458

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