English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90453/105672 (86%)
Visitors : 11999956      Online Users : 374
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
    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/79213

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/79213

    Title: Comparing Virus Classification using Genomic Materials according to Different Taxonomic Levels
    Authors: 王經篤;Wang, Jing-Doo
    Contributors: 資訊工程學系
    Date: 201312
    Issue Date: 2014-01-06 20:22:55 (UTC+8)
    Abstract: Special issue on GIW2013 http://www.worldscientific.com/worldscinet/jbcb JBCB has been included in Science Citation Index Expanded. The first impact factor will be available in 2013 Journal Citation Reports/Science Edition.
    In this paper, three genomic materials--DNA sequences, protein sequences, and regions (domains) are used to compare methods of virus classification. Virus classes (categories) are divided by various taxonomic level of virus into three datasets for 6 order, 42 family, and 33 genera. To increase the robustness and comparability of experimental results of virus classification, the classes are selected that contain at least 10 instances, and meanwhile each instance contains at least one region name. Experimental results show that the approach using region names achieved the best accuracies--reaching 99.9%, 97.3%, and 99.0% for 6 orders, 42 families, and 33 genera, respectively. This paper not only involves exhaustive experiments that compare virus classifications using different genomic materials, but also proposes a novel approach to biological classification based on molecular biology instead of traditional morphology.
    Relation: Journal of Bioinformatics and Computational Biology, 11(6).
    Appears in Collections:[資訊工程學系] 期刊論文

    Files in This Item:

    There are no files associated with this item.

    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