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• W2765722930 abstract "Abstract 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 with nearby germline variants to identify true mutations, thereby allowing accurate estimation of somatic mutation rates at the single cell level." @default.
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• W2765722930 date "2017-10-30" @default.
• W2765722930 modified "2023-10-18" @default.
• W2765722930 title "Linked-read analysis identifies mutations in single cell DNA sequencing data" @default.
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• W2765722930 doi "https://doi.org/10.1101/211169" @default.
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