English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90120/105278 (86%)
Visitors : 9185477      Online Users : 938
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8137

    Title: Biological Data Warehousing System for Identifying Transcriptional Regulatory Sites From Gene Expressions of Microarray Data
    Authors: Ann-Ping Tsou;Yi-Ming Sun;Chia-Lin Liu;Hsien-Da Huang;Jorng-Tzong Horng;Meng-Feng Tsai;Baw-Juine Liu
    Contributors: Department of Bioinformatics
    Keywords: Index Terms—Databases;data warehouse;gene expression;gene regulation;microarray;regulatory sites;synexpression group;transcription factor.
    Date: 2006-07
    Issue Date: 2010-03-19 16:24:36 (UTC+8)
    Publisher: Asia University
    Abstract: Identification of transcriptional regulatory sites plays an important role in the investigation of gene regulation. For this propose, we designed and implemented a data warehouse to integrate multiple heterogeneous biological data sources with data types such as text-file, XML, image, MySQL database model, and Oracle database model. The utility of the biological data warehouse in predicting transcriptional regulatory sites of coregulated genes was explored using a synexpression group derived from a microarray study. Both of the binding sites of known transcription
    factors and predicted over-represented (OR) oligonucleotides were demonstrated for the gene group. The potential biological roles of both known nucleotides and oneORnucleotide were demonstrated using bioassays. Therefore, the results from the wet-lab experiments reinforce the power and utility of the data warehouse as an approach to the genome-wide search for important transcription regulatory elements that are the key to many complex biological systems.
    Relation: IEEE Transactions on Information Technology in Biomedicine 10(3):550-558
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

    Files in This Item:

    File Description SizeFormat
    310904400-8137.doc38KbMicrosoft Word283View/Open

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback