PhySortR

PhySortR processes phylogenetic trees as an R package to identify and classify clades, supporting detection of monophyletic relationships and reticulated evolution among taxa.


Key Features:

  • Flexible Clade Identification: Identifies exclusive and non-exclusive clades based on tip labels, enabling focus on specified taxa without assuming tree rooting.
  • Customizable Options: Provides parameters to evaluate clades within the context of the entire phylogenetic tree.
  • Scalability and Efficiency: Processes thousands of simulated or empirical phylogenetic trees for large-scale phylogenomic analyses.
  • Classification Outputs: Produces explicit classification results that specify clade membership and relationships relative to user-defined target taxa.

Scientific Applications:

  • Phylogenomic screening: Screen large phylogenomic datasets to identify trees supporting specified monophyletic groups.
  • Detection of reticulated evolution: Identify patterns indicative of reticulated evolution among taxa by classifying non-monophyletic or mixed clade patterns.
  • Rooting-independent tree classification: Classify gene trees without prior assumptions about rooting to reduce bias in evolutionary inference.

Methodology:

Analyzes tip labels on phylogenetic trees to identify clades that unite target taxa and to distinguish exclusive versus non-exclusive clades; evaluates clades in the context of the whole tree without requiring a priori rooting assumptions and is implemented to process large numbers of trees efficiently.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Operating Systems:
Windows, Mac
Programming Languages:
R
Added:
9/20/2018
Last Updated:
1/13/2019

Operations

Publications

Stephens TG, Bhattacharya D, Ragan MA, Chan CX. PhySortR: a fast, flexible tool for sorting phylogenetic trees in R. PeerJ. 2016;4:e2038. doi:10.7717/peerj.2038. PMID:27190724. PMCID:PMC4868591.

PMID: 27190724
PMCID: PMC4868591
Funding: - Australian Research Council Discovery Project: DP150101875 - National Science Foundation: 1004213

Documentation