Visualizing Phylogenetic Tree Landscapes
Authors
Jim Wilgenbush, Wen Huang, Kyle A. Gallivan
Abstract
Genomic-scale sequence alignments are increasingly used to infer phylogenies in order to better understand the processes and patterns of evolution. Different partitions within these new alignments (e.g., genes, codon positions, and structural features) often favor hundreds if not thousands of competing phylogenies. Summarizing and comparing phylogenies obtained from multi-source data sets using current consensus tree methods discards valuable information and can disguise potential methodological problems. Discovery of efficient and accurate dimensionality reduction methods used to display at once in 2- or 3- dimensions the relationship among these competing phylogenies will help practitioners diagnose the limits of current evolutionary models and potential problems with phylogenetic reconstruction methods when analyzing large multi-source data sets.
Status
BMC Bioinformatics, 18:85, DOI:10.1186/s12859-017-1479-1, 2017.
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BibTex entry
- Technical Report
@Article{JHG2017,
author = "James C. Wilgenbusch and Wen Huang and Kyle A. Gallivan",
title = "Visualizing Phylogenetic Tree Landscapes",
journal="BMC Bioinformatics",
year="2017",
volume="18",
number="1",
pages="85",
doi="10.1186/s12859-017-1479-1",
}