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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2608


    Title: Mining of Thermophile Archaea by Genome Comparison
    Authors: Chiu Tzu Jui
    Contributors: Department of Bioinformatics
    Keywords: obtain one hundred and eighteen informative references.
    Date: 2008
    Issue Date: 2009-11-06 14:32:43 (UTC+0)
    Publisher: Asia University
    Abstract: Archaea mostly survives in the extremely severe environment and contains specific biological
    characteristics. According to the degree of temperatures for archaea that the NCBI
    provided, we divided the archaea into two classes: thermophiles and mesophiles. In this
    study, our objective is to extract some distinct characteristics from the archaea genomes
    that existed in the two classes as defined above. Thus, we could provide these characteristics
    to biologists for further research about the thermophilic or mesophilic archaea. Our
    approach included three steps: (1) constructing CDS groups, (2) searching for the unique
    groups, and (3) mining biological characteristics of unique groups. Firstly, we collect the
    protein amino-acid sequences (CDS) from the archaea genomes according to the degree
    of thermophilic of archaea, and then use BLAST to group the amino-acid sequences that
    provide the CDS with similar function in the same group. Secondly, we use the difference
    set property from set theory to find the distinct CDS group that exists in only one class,
    and verify the CDS groups as representative ones, if these groups appear in the majority
    of the members in that class. Finally, we mine the biological characteristics of these distinct
    groups from the well-known biological web site. We retrieve information of whole
    sequence of CDS of 50 archaea strains (29 strains are thermophilic , 21 mesophilic) from
    NCBI to establish a database of the CDS sequence (totally 100542 band ), we found 12
    unique CDS groups that existed only in the anaerobic class.
    Appears in Collections:[生物資訊與醫學工程學系 ] 博碩士論文

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