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

2017-10-30

Abstract excerpt

Whole-genome sequencing of DNA from single cells has the potential to reshape our understanding of the mutational heterogeneity in normal and disease tissues. A major difficulty, however, is distinguishing artifactual mutations that arise from DNA isolation and amplification from true mutations. Here, we describe li nked-read a nalysis (LiRA), a method that utilizes phasing of somatic single nucleotide variants...

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Literature Corpus work
0007ebd4-7493-58ab-b2e6-ee48fa4afd9d
DOI
10.1101/211169
Open publication

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Linked-read analysis identifies mutations in single cell DNA sequencing dataDOI 10.1101/211169
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