19158161

Source:http://linkedlifedata.com/resource/pubmed/id/19158161

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0017258, umls-concept:C0017428, umls-concept:C0237753, umls-concept:C0443288
pubmed:issue	5
pubmed:dateCreated	2009-2-26
pubmed:abstractText	Spatial clusters of genes conserved across multiple genomes provide important clues to gene functions and evolution of genome organization. Existing methods of identifying these clusters often made restrictive assumptions, such as exact conservation of gene order, and relied on heuristic algorithms.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9808944
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Mar
pubmed:issn	1367-4811
pubmed:author	pubmed-author:DongXinX, pubmed-author:HeXinX, pubmed-author:LingXuX
pubmed:issnType	Electronic
pubmed:day	1
pubmed:volume	25
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	571-7
pubmed:dateRevised	2009-11-4
pubmed:meshHeading	pubmed-meshheading:19158161-Algorithms, pubmed-meshheading:19158161-Computational Biology, pubmed-meshheading:19158161-Escherichia coli, pubmed-meshheading:19158161-Evolution, Molecular, pubmed-meshheading:19158161-Genes, Bacterial, pubmed-meshheading:19158161-Genome, pubmed-meshheading:19158161-Genome, Bacterial, pubmed-meshheading:19158161-Multigene Family, pubmed-meshheading:19158161-Software
pubmed:year	2009
pubmed:articleTitle	Detecting gene clusters under evolutionary constraint in a large number of genomes.
pubmed:affiliation	Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. xuling@uiuc.edu
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, Non-P.H.S.