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Review Paper: The Shape of Phylogenetic Treespace
Trees are a canonical structure for representing evolutionary histories. Many popular criteria used to infer optimal trees are computationally hard, and the number of possible tree shapes grows super-exponentially in the number of taxa. The underlying structure of the spaces of trees yields rich ins...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837343/ https://www.ncbi.nlm.nih.gov/pubmed/28173538 http://dx.doi.org/10.1093/sysbio/syw025 |
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author | St. John, Katherine |
author_facet | St. John, Katherine |
author_sort | St. John, Katherine |
collection | PubMed |
description | Trees are a canonical structure for representing evolutionary histories. Many popular criteria used to infer optimal trees are computationally hard, and the number of possible tree shapes grows super-exponentially in the number of taxa. The underlying structure of the spaces of trees yields rich insights that can improve the search for optimal trees, both in accuracy and in running time, and the analysis and visualization of results. We review the past work on analyzing and comparing trees by their shape as well as recent work that incorporates trees with weighted branch lengths. |
format | Online Article Text |
id | pubmed-5837343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58373432018-03-09 Review Paper: The Shape of Phylogenetic Treespace St. John, Katherine Syst Biol The following are online-only papers that are freely available as part of Issue 66(1) online. Trees are a canonical structure for representing evolutionary histories. Many popular criteria used to infer optimal trees are computationally hard, and the number of possible tree shapes grows super-exponentially in the number of taxa. The underlying structure of the spaces of trees yields rich insights that can improve the search for optimal trees, both in accuracy and in running time, and the analysis and visualization of results. We review the past work on analyzing and comparing trees by their shape as well as recent work that incorporates trees with weighted branch lengths. Oxford University Press 2017-01 2016-06-19 /pmc/articles/PMC5837343/ /pubmed/28173538 http://dx.doi.org/10.1093/sysbio/syw025 Text en © The Author(s) 2016. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | The following are online-only papers that are freely available as part of Issue 66(1) online. St. John, Katherine Review Paper: The Shape of Phylogenetic Treespace |
title | Review Paper: The Shape of Phylogenetic Treespace |
title_full | Review Paper: The Shape of Phylogenetic Treespace |
title_fullStr | Review Paper: The Shape of Phylogenetic Treespace |
title_full_unstemmed | Review Paper: The Shape of Phylogenetic Treespace |
title_short | Review Paper: The Shape of Phylogenetic Treespace |
title_sort | review paper: the shape of phylogenetic treespace |
topic | The following are online-only papers that are freely available as part of Issue 66(1) online. |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837343/ https://www.ncbi.nlm.nih.gov/pubmed/28173538 http://dx.doi.org/10.1093/sysbio/syw025 |
work_keys_str_mv | AT stjohnkatherine reviewpapertheshapeofphylogenetictreespace |