Collaborative Research: ABI Innovation: A Bayesian Evolutionary Tree Analysis Database

合作研究：ABI Innovation：贝叶斯进化树分析数据库

• 批准号: 1356737
• 负责人: Brian Moore
• 金额: $ 30.42万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1356737&HistoricalAwards=false
• 关键词: Collaborative; Research; ABI; Innovation; Bayesian

This collaborative grant seeks to develop a prototype Bayesian Evolutionary Tree Analysis Database (BETAbase), an interactive repository for the output of Bayesian phylogenetic studies. Phylogenies-estimates of the genealogical relationships among species-provide an explicit historical perspective that critically informs research in a vast and growing number of scienti c disciplines. Increasingly, phylogenies are inferred in a Bayesian statistical framework, as it permits estimation under more complex and realistic statistical models from larger and increasingly complex datasets, and allows uncertainty in the resulting estimates to be clearly identified and accommodated. Implementation of BETAbase will substantially advance the field of Bayesian phylogenetic inference and, by extension, the myriad fields of biological sciences (including conservation, medicine, and agriculture) that rely on phylogenetic information. It will promote more rigorous and consistent evaluation of published phylogenetic studies thereby improving the quality of decisions based upon those studies. BETAbase will also provide unique training opportunities by developing a web-based educational environment where researchers can gain experience and develop the skills to identify and address problems encountered in the course of Bayesian phylogenetic analysis.The output of Bayesian phylogenetic studies typically includes both log files with sampled trees and the other parameters of the phylogenetic model. The output accumulated over the last decade constitutes an untapped source of information with the potential to transform the field of Bayesian phylogenetics and associated areas of biological research. The BETAbase prototype attempts to harness this potential to: (1) promote more rigorous evaluation of empirical phylogenetic studies; (2) focus theoretical e^fforts on areas where existing phylogenetic methods are de ficient; and (3) implement software tools that enable solicitation of empirically based informative priors that appropriately reflect our accumulated knowledge regarding model parameters, providing an alternative to the vague `uninformative' priors that are currently used as the default settings in existing Bayesian phylogenetic inference software. The project will involve the participation and training of two postdoctoral scholars as well as graduate and undergraduate students. Finally, BETAbase will safeguard the substantial computational investment that the systematic community has made toward understanding the Tree of Life. The prototype BETAbase archive and associated tools will be distributed and discussed at http://beta-base.org.

这项合作赠款旨在开发一个贝叶斯进化树分析数据库的原型(BETBASE)，这是一个贝叶斯系统发育研究成果的互动储存库。系统发生学--对物种间谱系关系的估计--提供了一个明确的历史视角，为大量和不断增长的科学学科的研究提供了批判性的信息。系统发展越来越多地在贝叶斯统计框架中推断，因为它允许在更复杂和现实的统计模型下从更大和越来越复杂的数据集进行估计，并使所产生的估计中的不确定性得以明确确定和适应。BETBASE的实施将极大地推进贝叶斯系统发育推断领域，进而推动依赖于系统发育信息的生物科学(包括保护、医学和农业)的无数领域。它将促进对已发表的系统发育研究进行更严格和一致的评价，从而提高根据这些研究作出的决定的质量。贝叶斯数据库还将提供独特的培训机会，开发一个基于网络的教育环境，研究人员可以在其中获得经验和发展技能，以确定和解决在贝叶斯系统发育分析过程中遇到的问题。贝叶斯系统发育研究的结果通常包括带有采样树的日志文件和系统发育模型的其他参数。过去十年积累的成果构成了一个尚未开发的信息来源，有可能改变贝叶斯系统发生学领域和相关的生物学研究领域。BETBASE原型试图利用这一潜力：(1)促进对经验系统发育研究进行更严格的评估；(2)将理论电子聚焦于现有系统发生方法不足的领域；以及(3)实施软件工具，使基于经验的信息性先验能够适当地反映我们积累的关于模型参数的知识，提供一种替代目前用作现有贝叶斯系统发育推断软件默认设置的模糊的“无信息性”先验的替代方案。该项目将涉及两名博士后学者以及研究生和本科生的参与和培训。最后，BETBASE将保护系统社区为理解生命树所做的大量计算投资。原型BETBASE档案和相关工具将在http://beta-base.org.上分发和讨论