| pubmed-article:15911755 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:15911755 | lifeskim:mentions | umls-concept:C0036576 | lld:lifeskim |
| pubmed-article:15911755 | lifeskim:mentions | umls-concept:C0887950 | lld:lifeskim |
| pubmed-article:15911755 | lifeskim:mentions | umls-concept:C0032863 | lld:lifeskim |
| pubmed-article:15911755 | lifeskim:mentions | umls-concept:C1705920 | lld:lifeskim |
| pubmed-article:15911755 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
| pubmed-article:15911755 | pubmed:issue | 22 | lld:pubmed |
| pubmed-article:15911755 | pubmed:dateCreated | 2005-6-2 | lld:pubmed |
| pubmed-article:15911755 | pubmed:abstractText | 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. | lld:pubmed |
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| pubmed-article:15911755 | pubmed:language | eng | lld:pubmed |
| pubmed-article:15911755 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15911755 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:15911755 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:15911755 | pubmed:month | May | lld:pubmed |
| pubmed-article:15911755 | pubmed:issn | 0027-8424 | lld:pubmed |
| pubmed-article:15911755 | pubmed:author | pubmed-author:PachterLiorL | lld:pubmed |
| pubmed-article:15911755 | pubmed:author | pubmed-author:JordanMichael... | lld:pubmed |
| pubmed-article:15911755 | pubmed:author | pubmed-author:McAuliffeJon... | lld:pubmed |
| pubmed-article:15911755 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:15911755 | pubmed:day | 31 | lld:pubmed |
| pubmed-article:15911755 | pubmed:volume | 102 | lld:pubmed |
| pubmed-article:15911755 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:15911755 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:15911755 | pubmed:pagination | 7900-5 | lld:pubmed |
| pubmed-article:15911755 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:meshHeading | pubmed-meshheading:15911755... | lld:pubmed |
| pubmed-article:15911755 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:15911755 | pubmed:articleTitle | Subtree power analysis and species selection for comparative genomics. | lld:pubmed |
| pubmed-article:15911755 | pubmed:affiliation | Department of Statistics and Mathematics, University of California, Berkeley, CA 94720, USA. | lld:pubmed |
| pubmed-article:15911755 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:15911755 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
| pubmed-article:15911755 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:15911755 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:15911755 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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