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Article

Pan-cancer discovery of somatic mutations from RNA sequencing data.

Communications biology - 23 May 2024

Tang Gongyu, Liu Xinyi, Cho Minsu, Li Yuanxiang, Tran Dan-Ho, Wang Xiaowei

Abstract excerpt

Identification of somatic mutations (SMs) is essential for characterizing cancer genomes. While DNA-seq is the prevalent method for identifying SMs, RNA-seq provides an alternative strategy to discover tumor mutations in the transcribed genome. Here, we have developed a machine learning based pipeline to discover SMs based on RNA-seq data (designated as RNA-SMs). Subsequently, we have conducted a pan-cancer...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38783092
DOI: 10.1038/s42003-024-06326-y
PMCID: PMC11116503

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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