RNA allelic frequencies of somatic mutations encode substantial functional information in cancers

Abstract excerpt

A central goal of cancer research is the identification of cancer genes that drive tumour growth and progression. Existing approaches to this problem typically leverage frequentist approaches based on patterns of somatic mutagenesis in DNA. Here, we interrogate RNA variant allele frequencies to identify putative cancer genes with a novel computational tool, RVdriver , from bulk genomic-transcriptomic data within...

Topics

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• Exome
• Genome, Human
• Genomics
• High-Throughput Nucleotide Sequencing
• Mutation
• Mutation Rate
• Neoplasms
• Sequence Analysis, DNA

Identifiers and source

Literature Corpus work

8d633faa-1c74-5351-8edf-fca6ba966c44

DOI

10.1101/2023.03.09.531725