Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network

Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network

Abstract We report a novel computational method, RegNetDriver, to identify tumorigenic drivers using the combined effects of coding and non-coding single nucleotide variants, structural variants, and DNA methylation changes in the DNase I hypersensitivity based regulatory network. Integration of mul...

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Bibliographic Details
Main Authors: Priyanka Dhingra, Alexander Martinez-Fundichely, Adeline Berger, Franklin W. Huang, Andre Neil Forbes, Eric Minwei Liu, Deli Liu, Andrea Sboner, Pablo Tamayo, David S. Rickman, Mark A. Rubin, Ekta Khurana
Format: Article
Language:English
Published: BMC 2017-07-01
Series:Genome Biology
Subjects:
Tissue-specific regulatory network
Cancer drivers
Single nucleotide variants
Structural variants
DNA methylation
Prostate cancer
Online Access:http://link.springer.com/article/10.1186/s13059-017-1266-3

Internet

http://link.springer.com/article/10.1186/s13059-017-1266-3

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