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pubmed-article:15878123pubmed:dateCreated2005-5-9lld:pubmed
pubmed-article:15878123pubmed:abstractTextWe introduce a new method for identifying optimal incomplete data sets from large sequence databases based on the graph theoretic concept of alpha-quasi-bicliques. The quasi-biclique method searches large sequence databases to identify useful phylogenetic data sets with a specified amount of missing data while maintaining the necessary amount of overlap among genes and taxa. The utility of the quasi-biclique method is demonstrated on large simulated sequence databases and on a data set of green plant sequences from GenBank. The quasi-biclique method greatly increases the taxon and gene sampling in the data sets while adding only a limited amount of missing data. Furthermore, under the conditions of the simulation, data sets with a limited amount of missing data often produce topologies nearly as accurate as those built from complete data sets. The quasi-biclique method will be an effective tool for exploiting sequence databases for phylogenetic information and also may help identify critical sequences needed to build large phylogenetic data sets.lld:pubmed
pubmed-article:15878123pubmed:languageenglld:pubmed
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pubmed-article:15878123pubmed:statusMEDLINElld:pubmed
pubmed-article:15878123pubmed:monthJunlld:pubmed
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pubmed-article:15878123pubmed:authorpubmed-author:EulensteinOli...lld:pubmed
pubmed-article:15878123pubmed:authorpubmed-author:BurleighJ...lld:pubmed
pubmed-article:15878123pubmed:authorpubmed-author:YanChanghuiClld:pubmed
pubmed-article:15878123pubmed:issnTypePrintlld:pubmed
pubmed-article:15878123pubmed:volume35lld:pubmed
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pubmed-article:15878123pubmed:pagination528-35lld:pubmed
pubmed-article:15878123pubmed:dateRevised2006-11-15lld:pubmed
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pubmed-article:15878123pubmed:year2005lld:pubmed
pubmed-article:15878123pubmed:articleTitleIdentifying optimal incomplete phylogenetic data sets from sequence databases.lld:pubmed
pubmed-article:15878123pubmed:affiliationDepartment of Computer Science, Iowa State University, Ames, IA 50011, USA.lld:pubmed
pubmed-article:15878123pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:15878123pubmed:publicationTypeComparative Studylld:pubmed
pubmed-article:15878123pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed
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