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Accurate <i>de novo</i> detection of somatic mutations in high-throughput single-cell profiling data sets

2022-11-24

Abstract excerpt

Characterization of somatic mutations at single-cell resolution is essential to study cancer evolution, clonal mosaicism, and cell plasticity. However, detection of mutations in single cells remains technically challenging. Here, we describe SComatic, an algorithm designed for the detection of somatic mutations in single-cell transcriptomic and ATAC-seq data sets without requiring matched bulk or single-cell DNA s...

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Literature Corpus work
712f50c3-25d3-50d1-b29e-d4670609d2bd
DOI
10.1101/2022.11.22.517567
Open publication

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Accurate <i>de novo</i> detection of somatic mutations in high-throughput single-cell profiling data setsDOI 10.1101/2022.11.22.517567
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