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

机译:最新的方法论为系统发育分析制定了新的标准

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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 We do not wish to appear overly critical of outdated methodology but rather provide some practical guidance on the sort of issues which should be considered.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.
机译:这篇社论的目的是利用作者的综合专业知识,引导研究人员选择分子进化的方法。我们的目的不是审查特定任务的最先进方法。相反,我们定义了一些通用指南,以帮助您在典型的系统发育“管道”的不同阶段选择方法。我们无法详尽地引用大量丰富的文献,但是我们为读者提供了一套反映最新技术的经典教科书。我们不希望对过时的方法论过分批评,而是就应考虑的问题提供一些实用的指导。我们强调,报告的研究应有充分的动机,并评估特定的假设或科学问题。但是,除非是专门针对科学假设或问题的研究,否则,可发表的研究不应仅是感兴趣的蛋白质家族可用序列的汇编,再进行一些标准分析。序列数据迅速累积的速度已经超过了此类出版物。尽管很明显,但也需要来自数据挖掘的发现,新工具和数据库的报告以及评论论文。

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