Cancer gene identification from RNA variant allelic frequencies using RVdriver.

Abstract excerpt

Existing approaches to identifying cancer genes rely overwhelmingly on DNA sequencing data. Here, we introduce RVdriver, a computational tool that leverages paired bulk genomic and transcriptomic data to classify RNA variant allele frequencies (VAFs) of non-synonymous mutations relative to a synonymous mutation background. We analyze 7882 paired exomes and transcriptomes from 31 cancer types and identify novel,...

Topics

• Humans
• Neoplasms
• Gene Frequency
• Software
• Mutation
• Genes, Neoplasm
• Transcriptome