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Article

Monovar: single-nucleotide variant detection in single cells.

Nature methods - 1 Jun 2016

Zafar Hamim, Wang Yong, Nakhleh Luay, Navin Nicholas, Chen Ken

Abstract excerpt

Current variant callers are not suitable for single-cell DNA sequencing, as they do not account for allelic dropout, false-positive errors and coverage nonuniformity. We developed Monovar (https://bitbucket.org/hamimzafar/monovar), a statistical method for detecting and genotyping single-nucleotide variants in single-cell data. Monovar exhibited superior performance over standard algorithms on benchmarks and in...

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Identifiers

PMID: 27088313
DOI: 10.1038/nmeth.3835
PMCID: PMC4887298

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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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