Interactive analysis and quality assessment of single-cell copy-number variations

作者: Tyler Garvin , Robert Aboukhalil , Jude Kendall , Timour Baslan , Gurinder S. Atwal

DOI: 10.1101/011346

关键词:

摘要: We present an open-source visual-analytics web platform, Ginkgo (http://qb.cshl.edu/ginkgo), for the interactive analysis and quality assessment of single-cell copy-number alterations. automatically constructs profiles individual cells from mapped reads, as well constructing phylogenetic trees related cells. validate by reproducing results five major studies examine data characteristics three commonly used amplification techniques to conclude DOP-PCR be most consistent CNV analysis.

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