• DocumentCode
    724478
  • Title

    The reduction and classification research on DNA fragment species attributes in meta genome

  • Author

    Xue Jian ; Liu Fu ; Hou Tao

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4766
  • Lastpage
    4771
  • Abstract
    With the rapid development of meta genomics, sequenced meta genome number shot up as well as the DNA sequences expand. But the genera and species of most DNA sequences are unknown, so an important subject bioinformatics faced is how to research an attributes reduction and classification method for those huge meta genome DNA information. In this paper, we process attributes reduction and classification for those meta genome DNA fragments in different genera and the same genera but different species conditions respectively with the help of Rosetta experiment platform, which can get higher experimental resolution accuracy.
  • Keywords
    bioinformatics; data mining; genomics; molecular biophysics; pattern classification; DNA fragment species attributes; DNA sequences; Rosetta experiment platform; attribute classification; attribute reduction; bioinformatics; metagenomics; Accuracy; Bioinformatics; DNA; Genomics; Microorganisms; Set theory; Training; Attributes Reduction; Meta genome; Rosetta; Species Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162768
  • Filename
    7162768