• DocumentCode
    3421292
  • Title

    On compressibility of protein sequences

  • Author

    Adjeroh, Donald ; Nan, Fei

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV
  • fYear
    2006
  • fDate
    28-30 March 2006
  • Lastpage
    434
  • Abstract
    We consider the problem of compressibility of protein sequences. Based on an observed genome-scale long-range correlation in concatenated protein sequences from different organisms, we propose a method to exploit this unusual redundancy in compressing the protein sequences. The result is a significant reduction in the number of bits required for representing the sequences. We report results in bits per symbol (bps) of 2.27, 2.55, 3.11 and 3.44 for protein sequences from M. jannaschii, H. influenzae, S. cerevisiae, and H. sapiens respectively, the same protein sequences used by Nevill-Manning and Witten in the "Protein is incompressible" paper. The observed long-range correlations could have significant implications beyond compression and complexity analysis of protein sequences
  • Keywords
    computational complexity; data compression; image coding; image sequences; proteins; complexity analysis; concatenated protein sequences; genome-scale long-range correlation; long-range correlations; protein sequence compression; Amino acids; Bioinformatics; Biological information theory; DNA; Genetics; Genomics; Organisms; Protein engineering; Protein sequence; RNA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2006. DCC 2006. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2545-8
  • Type

    conf

  • DOI
    10.1109/DCC.2006.56
  • Filename
    1607277