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dc.contributor.authorJiang, Li-Weien_US
dc.contributor.authorLin, Kuang-Lunen_US
dc.contributor.authorLu, Chin Lungen_US
dc.date.accessioned2014-12-08T15:11:14Z-
dc.date.available2014-12-08T15:11:14Z-
dc.date.issued2008-07-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkn240en_US
dc.identifier.urihttp://hdl.handle.net/11536/8628-
dc.description.abstractOGtree is a web-based tool for constructing genome trees of prokaryotic species based on a measure of combining overlapping-gene content and overlapping-gene order in their whole genomes. The overlapping genes (OGs) are defined as adjacent genes whose coding sequences overlap partially or entirely. In fact, OGs are ubiquitous in microbial genomes and more conserved between species than non-OGs. Based on these properties, it has been suggested that OGs can serve as better phylogenetic characters than non-OGs for reconstructing the evolutionary relationships among microbial genomes. OGtree takes the accession numbers of prokaryotic genomes as its input. It then downloads their complete genomes from the National Centre for Biotechnology Information and identifies OGs in each genome and their orthologous OGs in other genomes. Next, OGtree computes an overlapping-gene distance between each pair of input genomes based on a combination of their OG content and orthologous OG order. Finally, it utilizes distance-based methods of building tree to reconstruct the genome trees of input prokaryotic genomes according to their pairwise OG distance. OGtree is available online at http://bioalgorithm.life.nctu.edu.tw/OGtree/.en_US
dc.language.isoen_USen_US
dc.titleOGtree: a tool for creating genome trees of prokaryotes based on overlapping genesen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkn240en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume36en_US
dc.citation.issueen_US
dc.citation.spageW475en_US
dc.citation.epageW480en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000258142300087-
dc.citation.woscount9-
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