Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

PhyKIT: A Multitool for Phylogenomics

Version 1 : Received: 19 April 2024 / Approved: 22 April 2024 / Online: 23 April 2024 (11:20:13 CEST)

How to cite: Steenwyk, J.; Martínez-Redondo, G.; Buida, T.; Gluck-Thaler, E.; Shen, X.; Gabaldón, T.; Rokas, A.; Fernández, R. PhyKIT: A Multitool for Phylogenomics. Preprints 2024, 2024041514. https://doi.org/10.20944/preprints202404.1514.v1 Steenwyk, J.; Martínez-Redondo, G.; Buida, T.; Gluck-Thaler, E.; Shen, X.; Gabaldón, T.; Rokas, A.; Fernández, R. PhyKIT: A Multitool for Phylogenomics. Preprints 2024, 2024041514. https://doi.org/10.20944/preprints202404.1514.v1

Abstract

Multiple sequence alignments and phylogenetic trees are rich in biological information and are fundamental to research in biology. PhyKIT is a tool for processing and analyzing the information content of multiple sequence alignments and phylogenetic trees. Here, we describe how to use PhyKIT for diverse analyses, including (i) constructing a phylogenomic supermatrix, (ii) detecting errors in orthology inference, (iii) quantifying biases in phylogenomic data sets, (iv) identifying radiation events or lack of resolution using gene support frequencies, and (v) conducting evolution-based screens to facilitate gene function prediction. Several PhyKIT functions that streamline multiple sequence alignment and phylogenetic processing—such as renaming FASTA entries or tree tips—are also discussed. These protocols demonstrate how simple command-line operations in the unified framework of PhyKIT facilitate diverse phylogenomic data analysis and processing, from supermatrix construction and diagnosis to gene function prediction.

Keywords

phylogeny; phylogenomics; sequence alignments; genomics; software tools; comparative genomics

Subject

Biology and Life Sciences, Biology and Biotechnology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.