完整後設資料紀錄
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dc.contributor.authorHo, Meng-Ruen_US
dc.contributor.authorJang, Wen-Jungen_US
dc.contributor.authorChen, Chun-houhen_US
dc.contributor.authorCh'ang, Lan-Yangen_US
dc.contributor.authorLin, Wen-changen_US
dc.date.accessioned2014-12-08T15:11:25Z-
dc.date.available2014-12-08T15:11:25Z-
dc.date.issued2008-06-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkn227en_US
dc.identifier.urihttp://hdl.handle.net/11536/8770-
dc.description.abstractOrthology is a widely used concept in comparative and evolutionary genomics. In addition to prokaryotic orthology, delineating eukaryotic orthology has provided insight into the evolution of higher organisms. Indeed, many eukaryotic ortholog databases have been established for this purpose. However, unlike prokaryotes, alternative splicing (AS) has hampered eukaryotic orthology assignments. Therefore, existing databases likely contain ambiguous eukaryotic ortholog relationships and possibly misclassify alternatively spliced protein isoforms as in-paralogs, which are duplicated genes that arise following speciation. Here, we propose a new approach for designating eukaryotic orthology using processed transcription units, and we present an orthology database prototype using the human and mouse genomes. Currently existing programs cover less than 69 of the human reference sequences when assigning human/mouse orthologs. In contrast, our method encompasses up to 80 of the human reference sequences. Moreover, the ortholog database presented herein is more than 92 consistent with the existing databases. In addition to managing AS, this approach is capable of identifying orthologs of embedded genes and fusion genes using syntenic evidence. In summary, this new approach is sensitive, specific and can generate a more comprehensive and accurate compilation of eukaryotic orthologs.en_US
dc.language.isoen_USen_US
dc.titleDesignating eukaryotic orthology via processed transcription unitsen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkn227en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume36en_US
dc.citation.issue10en_US
dc.citation.spage3436en_US
dc.citation.epage3442en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000257183200026-
dc.citation.woscount4-
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