Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance

Lovelace J. Luquette; Craig L. Bohrson; Max A. Sherman; Peter J. Park

doi:10.1038/s41467-019-11857-8

Nature Communications (Aug 2019)

Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance

Lovelace J. Luquette,
Craig L. Bohrson,
Max A. Sherman,
Peter J. Park

Affiliations

Lovelace J. Luquette: Department of Biomedical Informatics, Harvard Medical School
Craig L. Bohrson: Department of Biomedical Informatics, Harvard Medical School
Max A. Sherman: Department of Biomedical Informatics, Harvard Medical School
Peter J. Park: Department of Biomedical Informatics, Harvard Medical School

DOI: https://doi.org/10.1038/s41467-019-11857-8
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 14

Abstract

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Single cell whole-genome sequencing data harbors information about somatic genetic variation but is challenging to analyze. Here, the authors develop a spatial model to correct for allelic amplification imbalance and a somatic SNV genotyper SCAN-SNV for analyzing single cell DNA sequencing data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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