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Article

Modeling and correct the GC bias of tumor and normal WGS data for SCNA based tumor subclonal population inferring.

BMC bioinformatics - 11 Apr 2018

Chu Yanshuo, Teng Mingxiang, Wang Yadong

Abstract excerpt

BACKGROUND: Somatic copy number alternations (SCNAs) can be utilized to infer tumor subclonal populations in whole genome seuqncing studies, where usually their read count ratios between tumor-normal paired samples serve as the inferring proxy. Existing SCNA based subclonal population inferring tools consider the GC bias of tumor and normal sample is of the same fature, and could be fully offset by read count...

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PMID: 29671389
DOI: 10.1186/s12859-018-2099-0
PMCID: PMC5907144

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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