Show simple item record

dc.creatorAnisimova, M
dc.creatorLiberles, DA
dc.creatorPhilippe, H
dc.creatorProvan, J
dc.creatorPupko, T
dc.creatorVon Haeseler, A
dc.date.accessioned2021-01-31T18:54:00Z
dc.date.available2021-01-31T18:54:00Z
dc.date.issued2013-08-06
dc.identifier.issn1471-2148
dc.identifier.issn1471-2148
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/5366
dc.identifier.other23914788 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/5384
dc.description.abstractThe 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 We do not wish to appear overly critical of outdated methodology but rather provide some practical guidance on the sort of issues which should be considered.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.
dc.format.extent161-161
dc.language.isoen
dc.relation.haspartBMC Evolutionary Biology
dc.relation.isreferencedbySpringer Science and Business Media LLC
dc.rightsCC BY
dc.rights.urihttp://creativecommons.org/licenses/by/2.0
dc.subjectClassification
dc.subjectGenetics, Population
dc.subjectPhylogeny
dc.subjectSequence Analysis
dc.titleState-of the art methodologies dictate new standards for phylogenetic analysis
dc.typeArticle
dc.type.genreReview
dc.type.genreJournal
dc.relation.doi10.1186/1471-2148-13-161
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.creator.orcidLiberles, David A|0000-0003-3487-8826
dc.date.updated2021-01-31T18:53:57Z
refterms.dateFOA2021-01-31T18:54:00Z


Files in this item

Thumbnail
Name:
State-of the art methodologies ...
Size:
162.0Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

CC BY
Except where otherwise noted, this item's license is described as CC BY