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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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| Publicado no: | Nat Genet |
|---|---|
| Main Authors: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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