A broad survey of Web-based Bioinformatics research and data mining using BLAST / by Tan Wooi Keng.

Tan, Wooi Keng (2002) A broad survey of Web-based Bioinformatics research and data mining using BLAST / by Tan Wooi Keng. Masters thesis, Universiti Malaya.

[img]
Preview
PDF (Introduction)
Download (3554Kb) | Preview
    [img]
    Preview
    PDF (Abstract)
    Download (555Kb) | Preview
      [img]
      Preview
      PDF (Table of contents)
      Download (2283Kb) | Preview
        [img]
        Preview
        PDF (Chapter 1)
        Download (6Mb) | Preview
          [img]
          Preview
          PDF (Chapter 2)
          Download (1028Kb) | Preview
            [img]
            Preview
            PDF (Chapter 3)
            Download (8Mb) | Preview
              [img]
              Preview
              PDF (Chapter 4)
              Download (18Mb) | Preview
                [img]
                Preview
                PDF (Chapter 5)
                Download (2974Kb) | Preview
                  [img]
                  Preview
                  PDF (Bibliography)
                  Download (2250Kb) | Preview
                    [img]
                    Preview
                    PDF (Appendix)
                    Download (24Mb) | Preview
                      Item Type: Thesis (Masters)
                      Additional Information: Dissertation (M.Comp.Sc.) -- Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya, 2002.
                      Uncontrolled Keywords: Web databases. Data mining. Bioinformatics.
                      Subjects: Q Science > QA Mathematics > QA76 Computer software
                      Divisions: Faculty of Computer Science & Information Technology
                      Depositing User: Cik Hamidah Mohammad Ali
                      Date Deposited: 15 Apr 2012 13:51
                      Last Modified: 24 Jul 2013 16:45
                      URI: http://studentsrepo.um.edu.my/id/eprint/2386

                      Actions (For repository staff only : Login required)

                      View Item