Subtree power analysis finds optimal species for comparative genomics

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dc.creatorMcAuliffe, Jon D.
dc.creatorJordan, Michael I.
dc.creatorPachter, Lior
dc.date2004-12-06
dc.date.accessioned2026-07-07T05:58:48Z
dc.date.available2026-07-07T05:58:48Z
dc.descriptionSequence 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. In a study of vertebrate species, we show that the optimal species subset is not in general the most evolutionarily diverged subset. Our results suggest that marsupials are prime sequencing candidates.
dc.description16 pages, 3 figures, 3 tables
dc.identifierhttps://arxiv.org/abs/q-bio/0412012
dc.identifierhttp://arxiv.org/abs/q-bio/0412012
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88494
dc.subjectGenomics
dc.subjectQuantitative Methods
dc.titleSubtree power analysis finds optimal species for comparative genomics
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