TY - JOUR T1 - Interactive analysis and quality assessment of single-cell copy-number variations JF - bioRxiv DO - 10.1101/011346 SP - 011346 AU - Tyler Garvin AU - Robert Aboukhalil AU - Jude Kendall AU - Timour Baslan AU - Gurinder S. Atwal AU - James Hicks AU - Michael Wigler AU - Michael C. Schatz Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/03/06/011346.abstract N2 - 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. Ginkgo automatically constructs copy-number profiles of individual cells from mapped reads, as well as constructing phylogenetic trees of related cells. We validate Ginkgo by reproducing the results of five major studies and examine the data characteristics of three commonly used single-cell amplification techniques to conclude DOP-PCR to be the most consistent for CNV analysis. ER -