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

Stefan Kurtenbach, Anthony M. Cruz, Daniel A. Rodriguez, Michael A. Durante, J. William Harbour

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Article number419
JournalBMC Genomics
Issue number1
StatePublished - Dec 2021
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Genetics


Dive into the research topics of 'Uphyloplot2: visualizing phylogenetic trees from single-cell RNA-seq data'. Together they form a unique fingerprint.

Cite this