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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2533


    Title: Analysis of Regulatory Element Clusters in Human Promoter Regions
    Authors: Lin Jun Gu
    Contributors: Department of Bioinformatics
    Keywords: bioinformatics;promoter;regulatory protein;prediction;linear regression
    Date: 2004
    Issue Date: 2009-11-06 14:31:27 (UTC+0)
    Publisher: Asia University
    Abstract: As a result of the Human Genome Project, people can utilize the whole genome sequence of human. We can use the information of DNA or protein sequence to analyze the function of genes. In general, the structure of gene can separate to several parts. We are interesting to the promoter of the gene. This paper provides a method that can predict the location of promoter in the DNA sequence. Basing the weighted matrix of regulatory protein binding sites, and the formula of liner regression, we try to predict the position of promoter of human DNA sequence and to analyze the proximity of promoter, such as the position of core promoter, regulatory protein binding site and transcription mechanism model. We hope this method can abbreviate the preparing time of biological experiments and provide more information about promoter when biologists prepare the biological experiment.
    Appears in Collections:[生物資訊與醫學工程學系 ] 博碩士論文

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