Title page for etd-1101110-223403


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URN etd-1101110-223403
Author Guo-Hua Tu
Author's Email Address Clark_Tu@aseglobal.com
Statistics This thesis had been viewed 5384 times. Download 1815 times.
Department Biological Sciences
Year 2010
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Construction of Distributed Method for Analyzing a Large Number of Sequence Data: Using Influenza A Virus Protein Sequences as Examples
Date of Defense 2010-08-02
Page Count 103
Keyword
  • Influenza A Virus
  • Protein Sequences
  • Distributed
  • Abstract Abstract
    Analyzing the eight genomic protein segments of influenza A virus could provide a better understanding of this specific virus. Along with the progress of computer technology, numerous influenza A virus protein sequences were available in various internet data banks. However, analyzing a large number of protein sequences is a cumbersome work. Thus it is necessary to develop new tools with algorithmic method. This study used distributed method to develop a protein sequence clustering analysis software by JAVA programming language. The software could split a large number of protein sequences downloaded from NCBI into several files. Because of these individual files were calculated at the same time, therefore it could reduce the time in process of comparison and analysis. Finally, we used PRIMER 5 program to analyze these individual files and produce similarity analysis chart diagrams of MDS and UPGMA. In The similarity analysis chart diagrams indicated high homology in genomic protein segments of influenza A virus from year 1997 to 2006. The analysis also showed the genomic protein segments of influenza A virus are similar in Asia countries. However, the similarity between Asian countries and China is not significant. From analyzing the hosts, the genomic protein segments of influenza A virus are highly similar in species such like birds, chickens, ducks and pigs. Therefore, our data strongly support that the possibility of influenza A viruses can cross species to infect humans.
    Advisory Committee
  • Chi-Hsin Hsu - chair
  • Jie-Min Kuo - co-chair
  • Jong-Kang Liu - advisor
  • Chan-Shing Lin - advisor
  • Files
  • etd-1101110-223403.pdf
  • indicate access worldwide
    Date of Submission 2010-11-01

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