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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8109


    Title: The Repetitive Sequence Database and Mining Putative Regulatory Elements in Gene Promoter Regions
    Authors: J.T. Horng;H.D. Huang;F.M. Lin;L.C. Wu
    Contributors: Department of Bioinformatics
    Keywords: Key words: database, DNA, data mining, repetitive elements, genes.
    Date: 2002-08
    Issue Date: 2010-03-19 08:24:14 (UTC+0)
    Publisher: Asia University
    Abstract: At least 43% of the human genome is occupied by repetitive elements. Moreover, around 51% of the rice genome is occupied by repetitive elements. The analysis of repetitive elements reveals that repetitive elements in our genome may have been very important in the evolutionary genomics. The ? rst part of this study is to describe a database of repetitive elements—RSDB. The RSDB database contains repetitive elements, which are classi? ed into the following categories: exact, tandem, and similar. The interfaces needed to query and show the results and statistical data, such as the relationship between repetitive elements and genes, cross-references of repetitive elements among different organisms, and so on, are provided. The second part of this study then attempts to mine the putative binding site for information on how combinations of the known regulatory sites and overrepresented repetitive elements in RSDB are distributed in the promoter regions of groups of functionally related genes. The overrepresented repetitive elements appearing in the associations are possible transcription factor binding sites. Our proposed approach is applied to Saccharomyces cerevisiae and the promoter regions of Yeast ORFs. The complete contents of RSDB and partial putative binding sites are available to the public at www.rsdb.csie.ncu.edu.tw. The readers may download partial query results.
    Relation: Journal of Computational Biology 9 (4): 621-640
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

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