Data from: Sweepstake evolution revealed by population-genetic analysis of copy-number alterations in single genomes of breast cancer

Mamoru Kato, Daniel A. Vasco, Ryuichi Sugino, Daichi Narushima & Alexander Krasnitz
Single-cell sequencing is a promising technology that can address cancer cell evolution by identifying genetic alterations in individual cells. In a recent study, genome-wide DNA copy numbers of single cells were accurately quantified by single-cell sequencing in breast cancers. Phylogenetic tree analysis revealed genetically distinct populations, each consisting of homogeneous cells. Bioinformatics methods based on population genetics should be further developed to quantitatively analyse the single-cell sequencing data. We developed a bioinformatics framework that was...

Registration Year

  • 2017
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Resource Types

  • Dataset
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Affiliations

  • National Cancer Center
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  • Cold Spring Harbor Laboratory
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