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Article

Empirical Bayes single nucleotide variant-calling for next-generation sequencing data.

Scientific reports - 18 Jan 2024

Karimnezhad Ali, Perkins Theodore J

Abstract excerpt

One of the fundamental computational problems in cancer genomics is the identification of single nucleotide variants (SNVs) from DNA sequencing data. Many statistical models and software implementations for SNV calling have been developed in the literature, yet, they still disagree widely on real datasets. Based on an empirical Bayesian approach, we introduce a local false discovery rate (LFDR) estimator for...

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Identifiers

PMID: 38233494
DOI: 10.1038/s41598-024-51958-z
PMCID: PMC10794290

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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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