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  • 标题:Subtree power analysis and species selection for comparative genomics
  • 本地全文:下载
  • 作者:Jon D. McAuliffe ; Michael I. Jordan ; Lior Pachter
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2005
  • 卷号:102
  • 期号:22
  • 页码:7900-7905
  • DOI:10.1073/pnas.0502790102
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Sequence comparison across multiple organisms aids in the detection of regions under selection. However, resource limitations require a prioritization of genomes to be sequenced. This prioritization should be grounded in two considerations: the lineal scope encompassing the biological phenomena of interest, and the optimal species within that scope for detecting functional elements. We introduce a statistical framework for optimal species subset selection, based on maximizing power to detect conserved sites. Analysis of a phylogenetic star topology shows theoretically that the optimal species subset is not in general the most evolutionarily diverged subset. We then demonstrate this finding empirically in a study of vertebrate species. Our results suggest that marsupials are prime sequencing candidates.
  • 关键词:hypothesis testing ; likelihood ratio ; sequence analysis
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