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Article

De novo detection of somatic mutations in high-throughput single-cell profiling data sets.

Nature biotechnology - 1 May 2024

Muyas Francesc, Sauer Carolin M, Valle-Inclán Jose Espejo, Li Ruoyan, Rahbari Raheleh, Mitchell Thomas J, Hormoz Sahand, Cortés-Ciriano Isidro

Abstract excerpt

Characterization of somatic mutations at single-cell resolution is essential to study cancer evolution, clonal mosaicism and cell plasticity. Here, we describe SComatic, an algorithm designed for the detection of somatic mutations in single-cell transcriptomic and ATAC-seq (assay for transposase-accessible chromatin sequence) data sets directly without requiring matched bulk or single-cell DNA sequencing data....

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Identifiers

PMID: 37414936
DOI: 10.1038/s41587-023-01863-z
PMCID: PMC11098751

Provenance

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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