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Uphyloplot2: visualizing phylogenetic trees from single-cell RNA-seq data

Authors :
Stefan Kurtenbach
Anthony M. Cruz
Daniel A. Rodriguez
Michael A. Durante
J. William Harbour
Source :
BMC Genomics, Vol 22, Iss 1, Pp 1-3 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Recent advances in single cell sequencing technologies allow for greater resolution in assessing tumor clonality using chromosome copy number variations (CNVs). While single cell DNA sequencing technologies are ideal to identify tumor sub-clones, they remain expensive and in contrast to single cell RNA-seq (scRNA-seq) methods are more limited in the data they generate. However, CNV data can be inferred from scRNA-seq and bulk RNA-seq, for which several tools have been developed, including inferCNV, CaSpER, and HoneyBADGER. Inferences regarding tumor clonality from CNV data (and other sources) are frequently visualized using phylogenetic plots, which previously required time-consuming and error-prone, manual analysis. Results Here, we present Uphyloplot2, a python script that generates phylogenetic plots directly from inferred RNA-seq data, or any Newick formatted dendrogram file. The tool is publicly available at https://github.com/harbourlab/UPhyloplot2/ . Conclusions Uphyloplot2 is an easy-to-use tool to generate phylogenetic plots to depict tumor clonality from scRNA-seq data and other sources.

Details

Language :
English
ISSN :
14712164
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.f6ab85ee0b24705b154f076fdadfcc9
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-021-07739-3