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Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences
Word-based or ‘alignment-free’ sequence comparison has become an active research area in bioinformatics. While previous word-frequency approaches calculated rough measures of sequence similarity or dissimilarity, some new alignment-free methods are able to accurately estimate phylogenetic distances...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436989/ https://www.ncbi.nlm.nih.gov/pubmed/30535314 http://dx.doi.org/10.1093/gigascience/giy148 |
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author | Leimeister, Chris-Andre Schellhorn, Jendrik Dörrer, Svenja Gerth, Michael Bleidorn, Christoph Morgenstern, Burkhard |
author_facet | Leimeister, Chris-Andre Schellhorn, Jendrik Dörrer, Svenja Gerth, Michael Bleidorn, Christoph Morgenstern, Burkhard |
author_sort | Leimeister, Chris-Andre |
collection | PubMed |
description | Word-based or ‘alignment-free’ sequence comparison has become an active research area in bioinformatics. While previous word-frequency approaches calculated rough measures of sequence similarity or dissimilarity, some new alignment-free methods are able to accurately estimate phylogenetic distances between genomic sequences. One of these approaches is Filtered Spaced Word Matches. Here, we extend this approach to estimate evolutionary distances between complete or incomplete proteomes; our implementation of this approach is called Prot-SpaM. We compare the performance of Prot-SpaM to other alignment-free methods on simulated sequences and on various groups of eukaryotic and prokaryotic taxa. Prot-SpaM can be used to calculate high-quality phylogenetic trees for dozens of whole-proteome sequences in a matter of seconds or minutes and often outperforms other alignment-free approaches. The source code of our software is available through Github: https://github.com/jschellh/ProtSpaM. |
format | Online Article Text |
id | pubmed-6436989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64369892019-04-01 Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences Leimeister, Chris-Andre Schellhorn, Jendrik Dörrer, Svenja Gerth, Michael Bleidorn, Christoph Morgenstern, Burkhard Gigascience Research Word-based or ‘alignment-free’ sequence comparison has become an active research area in bioinformatics. While previous word-frequency approaches calculated rough measures of sequence similarity or dissimilarity, some new alignment-free methods are able to accurately estimate phylogenetic distances between genomic sequences. One of these approaches is Filtered Spaced Word Matches. Here, we extend this approach to estimate evolutionary distances between complete or incomplete proteomes; our implementation of this approach is called Prot-SpaM. We compare the performance of Prot-SpaM to other alignment-free methods on simulated sequences and on various groups of eukaryotic and prokaryotic taxa. Prot-SpaM can be used to calculate high-quality phylogenetic trees for dozens of whole-proteome sequences in a matter of seconds or minutes and often outperforms other alignment-free approaches. The source code of our software is available through Github: https://github.com/jschellh/ProtSpaM. Oxford University Press 2018-12-07 /pmc/articles/PMC6436989/ /pubmed/30535314 http://dx.doi.org/10.1093/gigascience/giy148 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Leimeister, Chris-Andre Schellhorn, Jendrik Dörrer, Svenja Gerth, Michael Bleidorn, Christoph Morgenstern, Burkhard Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
title |
Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
title_full |
Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
title_fullStr |
Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
title_full_unstemmed |
Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
title_short |
Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
title_sort | prot-spam: fast alignment-free phylogeny reconstruction based on whole-proteome sequences |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436989/ https://www.ncbi.nlm.nih.gov/pubmed/30535314 http://dx.doi.org/10.1093/gigascience/giy148 |
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