Journal
NATURE METHODS
Volume 12, Issue 11, Pages 1058-1060Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3578
Keywords
-
Categories
Funding
- US National Institutes of Health [R01-HG006677]
- US National Science Foundation [DBI-1350041]
- Starr Cancer Consortium [I7-A723]
- Breast Cancer Research Foundation (BCRF)
- Simons Foundation, Simons Center for Quantitative Biology (SFARI) [235988]
- Susan G. Komen Foundation [llR13265578]
- Prostate Cancer Foundation
- Cold Spring Harbor Laboratory (CSHL) Cancer Center [5P30CA045508]
- Watson School of Biological Sciences at CSHL from the US National Institutes of Health [5T32GM065094]
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1627442] Funding Source: National Science Foundation
Ask authors/readers for more resources
We present Ginkgo (http://qb.cshl.edu/ginkgo), a user-friendly, open-source web platform for the analysis of single-cell copy-number variations (CNVs). Ginkgo automatically constructs copy-number profiles of cells from mapped reads and constructs phylogenetic trees of related cells. We validated Ginkgo by reproducing the results of five major studies. After comparing three commonly used single-cell amplification techniques, we concluded that degenerate oligonucleotide-primed PCR is the most consistent for CNV analysis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
