Article
LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer.
BMC bioinformatics - 9 Feb 2016
Melloni Giorgio E M, de Pretis Stefano, Riva Laura, Pelizzola Mattia, Céol Arnaud, Costanza Jole, Müller Heiko, Zammataro Luca
Abstract excerpt
BACKGROUND: The increasing availability of resequencing data has led to a better understanding of the most important genes in cancer development. Nevertheless, the mutational landscape of many tumor types is heterogeneous and encompasses a long tail of potential driver genes that are systematically excluded by currently available methods due to the low frequency of their mutations. We developed LowMACA (Low...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.