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Clonal genotype and population structure inference from single-cell tumor sequencing.

Andrew RothAndrew W McPhersonEmma LaksJustina BieleDamian YapAdrian WanMaia A SmithCydney B NielsenJessica N McAlpineSamuel AparicioAlexandre Bouchard-CôtéSohrab P Shah
Published in: Nature methods (2016)
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.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • endothelial cells
  • mental health
  • induced apoptosis
  • single molecule
  • peripheral blood
  • signaling pathway
  • dna methylation
  • cell free
  • young adults
  • deep learning