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    题名: Database of repetitive elements in complete genomes and data mining using transcription factor binding sites
    作者: J. T. Horng;F. M. Lin;J. H. Lin;H. D. Huang;B. J. Liu
    贡献者: Department of Bioinformatics
    关键词: Complete genome;database;data mining;gene;transcription factor.
    日期: 2003-06
    上传时间: 2010-03-19 08:24:20 (UTC+0)
    出版者: Asia University
    摘要: Approximately 43% of the human genome is occupied by repetitive elements. Even more, around 51% of the rice genome is occupied by repetitive elements. The analysis presented here indicates that repetitive elements in complete genomes may have been very important in the evolutionary genomics. In this study, a database, called the Repeat Sequence Database, is first designed and implemented to store complete and comprehensive repetitive sequences. See http://rsdb.csie.ncu.edu.tw for more information. The database contains direct, inverted and palindromic
    repetitive sequences, and each repetitive sequence has a variable length ranging from seven to many hundred nucleotides. The repetitive sequences in the database are explored using a mathematical algorithm to mine rules on how combinations of individual binding sites are distributed among repetitive sequences in the database. Combinations of transcription factor binding sites in the repetitive sequences are obtained and then data mining techniques are applied to mine association rules from these combinations. The discovered associations are further pruned to
    remove insignificant associations and obtain a set of associations. The mined association rules facilitate efforts to identify gene classes regulated by similar mechanisms and accurately predict regulatory elements. Experiments are performed on several genomes including C. elegans, human chromosome 22, and yeast.
    關聯: IEEE Transactions on Information Technology in Biomedicine 7 (2): 93-100
    显示于类别:[生物資訊與醫學工程學系 ] 期刊論文

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