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DOI: 10.1016/j.tree.2015.12.007
论文题名:
An Integrated Perspective on Phylogenetic Workflows
作者: Guang A.; Zapata F.; Howison M.; Lawrence C.E.; Dunn C.W.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2016
卷: 31, 期:2
起始页码: 116
结束页码: 126
语种: 英语
英文摘要: Molecular phylogenetics is the study of evolutionary relationships between biological sequences, often to infer the evolutionary relationships of organisms. These studies require many analysis components, including sequence assembly, identification of homologous sequences, gene tree inference, and species tree inference. At present, each component is usually treated as a single step in a linear analysis, where the output of each component is passed as input to the next as a point estimate. Here we outline a generative model that helps clarify assumptions that are implicit to phylogenetic workflows, focusing on the assumption of low relative entropy. This perspective unifies currently disparate advances, and will help investigators evaluate which steps would benefit the most from additional computation and future methods development. © 2015 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67086
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: Department of Applied Math, Brown University, 182 George St, Providence, RI, United States; Department of Ecology and Evolutionary Biology, Brown University, 80 Waterman St, Providence, RI, United States; Computing and Information Services, Brown University, 3 Davol Sq., Providence, RI, United States

Recommended Citation:
Guang A.,Zapata F.,Howison M.,et al. An Integrated Perspective on Phylogenetic Workflows[J]. Trends in Ecology and Evolution,2016-01-01,31(2)
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