Linked-read analysis identifies mutations in single-cell DNA sequencing data

Whole-genome sequencing of DNA from single cells has the potential to reshape our understanding of mutational heterogeneity in normal and disease tissues. A major difficulty, however, is distinguishing amplification artifacts from biologically derived somatic mutations. Here, we describe linked-read...

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Bibliographic Details
Published in:Nat Genet
Main Authors: Bohrson, Craig L., Barton, Alison R., Lodato, Michael A., Rodin, Rachel E., Luquette, Lovelace J., Viswanadham, Vinay, Gulhan, Doga C., Cortés-Ciriano, Isidro, Sherman, Maxwell A., Kwon, Minseok, Coulter, Michael E., Galor, Alon, Walsh, Christopher A., Park, Peter J.
Format: Artigo
Language:Inglês
Published: 2019
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6900933/
https://ncbi.nlm.nih.gov/pubmed/30886424
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41588-019-0366-2
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