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最先进的方法为系统发育分析制定了新标准。

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

出版信息

BMC Evol Biol. 2013 Aug 1;13:161. doi: 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 We do not wish to appear overly critical of outdated methodology but rather provide some practical guidance on the sort of issues which should be considered.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.

摘要

这篇社论的目的是在分子进化方面为研究人员提供方法选择方面的指导,借鉴了作者的综合专业知识。我们的目的不是为特定任务审查最先进的方法。相反,我们定义了一些一般准则,以帮助在典型系统发育“流水线”的不同阶段进行方法选择。我们无法提供广泛而丰富的文献的详尽引用,但我们向读者指出了一系列反映最新技术的经典教科书。我们并不想对过时的方法过于挑剔,而是为应该考虑的问题提供一些实用的指导。我们强调,报告的研究应该有充分的理由,并评估特定的假设或科学问题。然而,可发表的研究不应该仅仅是对感兴趣的蛋白质家族的现有序列进行一些标准分析的汇编,除非它专门针对科学假设或问题。随着序列数据的快速积累,这种情况很快就会过时。尽管显然,从数据挖掘中得出的发现、新工具和数据库的报告以及评论文章也是可取的。

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