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

Stefan Kurtenbach1, Anthony M Cruz2, Daniel A Rodriguez2

  • 1Sylvester Comprehensive Cancer Center, Interdisciplinary Stem Cell Institute, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA. Stefan.Kurtenbach@med.miami.edu.

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|June 6, 2021
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Summary
This summary is machine-generated.

Uphyloplot2 simplifies tumor clonal analysis by generating phylogenetic plots directly from inferred RNA-seq data. This python script automates visualization, improving the study of tumor evolution from single-cell RNA sequencing (scRNA-seq) data.

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Area of Science:

  • Genomics
  • Computational Biology
  • Cancer Research

Background:

  • Single-cell sequencing advances tumor clonality assessment via copy number variations (CNVs).
  • CNV data can be inferred from single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq.
  • Existing tools for CNV inference include inferCNV, CaSpER, and HoneyBADGER.

Purpose of the Study:

  • To present Uphyloplot2, a novel python script for generating phylogenetic plots.
  • To enable direct visualization of tumor clonality from inferred RNA-seq data.

Main Methods:

  • Developed a python script, Uphyloplot2.
  • The script accepts inferred RNA-seq data or Newick formatted dendrogram files.
  • Uphyloplot2 automates the generation of phylogenetic plots.

Main Results:

  • Uphyloplot2 successfully generates phylogenetic plots directly from inferred RNA-seq data.
  • The tool provides a streamlined method for visualizing tumor clonality.
  • The script is publicly available on GitHub.

Conclusions:

  • Uphyloplot2 is an accessible tool for creating phylogenetic plots.
  • It facilitates the depiction of tumor clonality from scRNA-seq and other data sources.
  • This enhances the analysis of tumor evolution and subclonal architecture.