| Literature DB >> 27183439 |
Andrew Roth1,2, Andrew McPherson1,3, Emma Laks1, Justina Biele1, Damian Yap1,4, Adrian Wan1, Maia A Smith1, Cydney B Nielsen1,4, Jessica N McAlpine5, Samuel Aparicio1,4, Alexandre Bouchard-Côté6, Sohrab P Shah1,4,7.
Abstract
Single-cell DNA sequencing has great potential to reveal the clonal genotypes and population structure of human cancers. However, single-cell data suffer from missing values and biased allelic counts as well as false genotype measurements owing to the sequencing of multiple cells. We describe the Single Cell Genotyper (https://bitbucket.org/aroth85/scg), an open-source software based on a statistical model coupled with a mean-field variational inference method, which can be used to address these problems and robustly infer clonal genotypes.Entities:
Mesh:
Year: 2016 PMID: 27183439 DOI: 10.1038/nmeth.3867
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547