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Article

MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data.

Bioinformatics (Oxford, England) - 15 May 2016

Murillo Gabriel H, You Na, Su Xiaoquan, Cui Wei, Reilly Muredach P, Li Mingyao, Ning Kang, Cui Xinping

Abstract excerpt

MOTIVATION: Single nucleotide variant (SNV) detection procedures are being utilized as never before to analyze the recent abundance of high-throughput DNA sequencing data, both on single and multiple sample datasets. Building on previously published work with the single sample SNV caller genotype model selection (GeMS), a multiple sample version of GeMS (MultiGeMS) is introduced. Unlike other popular multiple...

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PMID: 26787661
DOI: 10.1093/bioinformatics/btv753
PMCID: PMC6280882

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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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