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PhyKIT: a broadly applicable UNIX shell toolkit for processing and analyzing phylogenomic data.

Jacob L Steenwyk1, Thomas J Buida2, Abigail L Labella1

  • 1Department of Biological Sciences, Vanderbilt University, VU Station B #35-1634, Nashville, TN 37235, USA.

Bioinformatics (Oxford, England)
|February 9, 2021
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Summary
This summary is machine-generated.

PhyKIT is a new toolkit that automates the processing of multiple sequence alignments (MSAs) and phylogenetic trees. This tool aids in analyzing evolutionary data, identifying gene functions, and understanding evolutionary processes.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Diverse biological disciplines analyze multiple sequence alignments (MSAs) and phylogenetic trees for information content, evolutionary inference, and gene function prediction.
  • Automated processing of MSAs and trees is challenging due to the lack of a unified toolkit.
  • PhyKIT addresses this gap by providing a comprehensive set of tools for MSAs and trees.

Purpose of the Study:

  • Introduce PhyKIT, a novel toolkit for processing MSAs and phylogenetic trees.
  • Provide a unified solution for common tasks in phylogenomic data analysis.
  • Facilitate the examination and biological interpretation of large phylogenomic datasets.

Main Methods:

  • PhyKIT is a command-line toolkit for the UNIX shell environment.
  • It includes 30 functions for processing MSAs and trees.
  • Key functions include mutation rate estimation, bias evaluation, molecular clock violation assessment, and bipartition collapsing.

Main Results:

  • PhyKIT demonstrates utility in summarizing MSA and tree information content to diagnose data biases.
  • It aids in evaluating gene-gene covariation of evolutionary rates to identify functional relationships.
  • PhyKIT helps identify lack of resolution events (polytomies) suggestive of rapid radiation or data limitations.

Conclusions:

  • PhyKIT is a valuable resource for researchers working with MSAs and phylogenetic trees.
  • The toolkit simplifies and enhances the analysis of complex evolutionary data.
  • It is expected to be widely adopted for processing and deriving biological meaning from large phylogenomic datasets.