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Article

EMVC-2: an efficient single-nucleotide variant caller based on expectation maximization.

Bioinformatics (Oxford, England) - 4 Mar 2024

Dufort Y Álvarez Guillermo, Xargay-Ferrer Martí, Pagès-Zamora Alba, Ochoa Idoia

Abstract excerpt

MOTIVATION: Single-nucleotide variants (SNVs) are the most common type of genetic variation in the human genome. Accurate and efficient detection of SNVs from next-generation sequencing (NGS) data is essential for various applications in genomics and personalized medicine. However, SNV calling methods usually suffer from high computational complexity and limited accuracy. In this context, there is a need for new...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 37963064
DOI: 10.1093/bioinformatics/btad681
PMCID: PMC10919945

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