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State-of the art methodologies dictate new standards for phylogenetic analysis
The intention of this editorial is to steer researchers through methodological choices in molecular evolution, drawing on the combined expertise of the authors. Our aim is not to review the most advanced methods for a specific task. Rather, we define several general guidelines to help with methodolo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751533/ https://www.ncbi.nlm.nih.gov/pubmed/23914788 http://dx.doi.org/10.1186/1471-2148-13-161 |
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author | Anisimova, Maria Liberles, David A Philippe, Hervé Provan, Jim Pupko, Tal von Haeseler, Arndt |
author_facet | Anisimova, Maria Liberles, David A Philippe, Hervé Provan, Jim Pupko, Tal von Haeseler, Arndt |
author_sort | Anisimova, Maria |
collection | PubMed |
description | The intention of this editorial is to steer researchers through methodological choices in molecular evolution, drawing on the combined expertise of the authors. Our aim is not to review the most advanced methods for a specific task. Rather, we define several general guidelines to help with methodology choices at different stages of a typical phylogenetic ‘pipeline’. We are not able to provide exhaustive citation of a literature that is vast and plentiful, but we point the reader to a set of classical textbooks that reflect the state-of-the-art. We do not wish to appear overly critical of outdated methodology but rather provide some practical guidance on the sort of issues which should be considered. We stress that a reported study should be well-motivated and evaluate a specific hypothesis or scientific question. However, a publishable study should not be merely a compilation of available sequences for a protein family of interest followed by some standard analyses, unless it specifically addresses a scientific hypothesis or question. The rapid pace at which sequence data accumulate quickly outdates such publications. Although clearly, discoveries stemming from data mining, reports of new tools and databases and review papers are also desirable. |
format | Online Article Text |
id | pubmed-3751533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37515332013-08-24 State-of the art methodologies dictate new standards for phylogenetic analysis Anisimova, Maria Liberles, David A Philippe, Hervé Provan, Jim Pupko, Tal von Haeseler, Arndt BMC Evol Biol Editorial The intention of this editorial is to steer researchers through methodological choices in molecular evolution, drawing on the combined expertise of the authors. Our aim is not to review the most advanced methods for a specific task. Rather, we define several general guidelines to help with methodology choices at different stages of a typical phylogenetic ‘pipeline’. We are not able to provide exhaustive citation of a literature that is vast and plentiful, but we point the reader to a set of classical textbooks that reflect the state-of-the-art. We do not wish to appear overly critical of outdated methodology but rather provide some practical guidance on the sort of issues which should be considered. We stress that a reported study should be well-motivated and evaluate a specific hypothesis or scientific question. However, a publishable study should not be merely a compilation of available sequences for a protein family of interest followed by some standard analyses, unless it specifically addresses a scientific hypothesis or question. The rapid pace at which sequence data accumulate quickly outdates such publications. Although clearly, discoveries stemming from data mining, reports of new tools and databases and review papers are also desirable. BioMed Central 2013-08-01 /pmc/articles/PMC3751533/ /pubmed/23914788 http://dx.doi.org/10.1186/1471-2148-13-161 Text en Copyright © 2013 Anisimova et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Editorial Anisimova, Maria Liberles, David A Philippe, Hervé Provan, Jim Pupko, Tal von Haeseler, Arndt State-of the art methodologies dictate new standards for phylogenetic analysis |
title | State-of the art methodologies dictate new standards for phylogenetic analysis |
title_full | State-of the art methodologies dictate new standards for phylogenetic analysis |
title_fullStr | State-of the art methodologies dictate new standards for phylogenetic analysis |
title_full_unstemmed | State-of the art methodologies dictate new standards for phylogenetic analysis |
title_short | State-of the art methodologies dictate new standards for phylogenetic analysis |
title_sort | state-of the art methodologies dictate new standards for phylogenetic analysis |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751533/ https://www.ncbi.nlm.nih.gov/pubmed/23914788 http://dx.doi.org/10.1186/1471-2148-13-161 |
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