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State-of the art methodologies dictate new standards for phylogenetic analysis

Anisimova, M
; 
Liberles, DA
; 
Philippe, H
; 
Provan, J
; 
Pupko, T
; 
Von Haeseler, A
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Review
Journal
Date
2013-08-06
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Department
Subject
Classification
 Genetics, Population
 Phylogeny
 Sequence Analysis
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http://hdl.handle.net/20.500.12613/5384
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State-of the art methodologies dictate new standards for phylogenetic analysis.pdf
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10.1186/1471-2148-13-161
Abstract
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 We do not wish to appear overly critical of outdated methodology but rather provide some practical guidance on the sort of issues which should be considered.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. © 2013 Anisimova et al.; licensee BioMed Central Ltd.
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Springer Science and Business Media LLC
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BMC Evolutionary Biology
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