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Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees
“Rogue” taxa of uncertain affinity can confound attempts to summarize the results of phylogenetic analyses. Rogues reduce resolution and support values in consensus trees, potentially obscuring strong evidence for relationships between other taxa. Information theory provides a principled means of as...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366444/ https://www.ncbi.nlm.nih.gov/pubmed/34951650 http://dx.doi.org/10.1093/sysbio/syab099 |
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author | Smith, Martin R |
author_facet | Smith, Martin R |
author_sort | Smith, Martin R |
collection | PubMed |
description | “Rogue” taxa of uncertain affinity can confound attempts to summarize the results of phylogenetic analyses. Rogues reduce resolution and support values in consensus trees, potentially obscuring strong evidence for relationships between other taxa. Information theory provides a principled means of assessing the congruence between a set of trees and their consensus, allowing rogue taxa to be identified more effectively than when using ad hoc measures of tree quality. A basic implementation of this approach in R recovers reduced consensus trees that are better resolved, more accurate, and more informative than those generated by existing methods. [Consensus trees; information theory; phylogenetic software; Rogue taxa.] |
format | Online Article Text |
id | pubmed-9366444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93664442022-08-11 Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees Smith, Martin R Syst Biol Regular Articles “Rogue” taxa of uncertain affinity can confound attempts to summarize the results of phylogenetic analyses. Rogues reduce resolution and support values in consensus trees, potentially obscuring strong evidence for relationships between other taxa. Information theory provides a principled means of assessing the congruence between a set of trees and their consensus, allowing rogue taxa to be identified more effectively than when using ad hoc measures of tree quality. A basic implementation of this approach in R recovers reduced consensus trees that are better resolved, more accurate, and more informative than those generated by existing methods. [Consensus trees; information theory; phylogenetic software; Rogue taxa.] Oxford University Press 2021-12-24 /pmc/articles/PMC9366444/ /pubmed/34951650 http://dx.doi.org/10.1093/sysbio/syab099 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Systematic Biologists. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Regular Articles Smith, Martin R Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees |
title | Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees |
title_full | Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees |
title_fullStr | Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees |
title_full_unstemmed | Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees |
title_short | Using Information Theory to Detect Rogue Taxa and Improve Consensus Trees |
title_sort | using information theory to detect rogue taxa and improve consensus trees |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366444/ https://www.ncbi.nlm.nih.gov/pubmed/34951650 http://dx.doi.org/10.1093/sysbio/syab099 |
work_keys_str_mv | AT smithmartinr usinginformationtheorytodetectroguetaxaandimproveconsensustrees |