• DocumentCode
    2130930
  • Title

    Fast compression of huge DNA sequence data

  • Author

    Jichao Ouyang ; Ping Feng ; Jichang Kang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    885
  • Lastpage
    888
  • Abstract
    DNA sequences can be enormous in size. There have been several DNA sequence oriented compression methods like Biocompress, DNACompress, Cfact, CTW+LZ, and DNADP. These compression methods can achieve high compression ratio, but sacrifice too much of time. For example, CTW+LZ takes several hours to compress a sequence HEMCMVCG of 227 KB. DNADP takes about 20 minutes to compress standard benchmark sequences. Here we introduce an improved RLE method, which has lower computation complex. Thus, it significantly improves the running time against previous DNA compression programs. Our improved LRE can achieve compression ratio of 1.862 bits per base. It only takes about 1 minute on a 2.1 GHz Core 2 duo processor to compress a 250MB chromosomes sequence file. And we use the Delta Encoding to reduce the second sequence to 4.8MB.
  • Keywords
    DNA; biology computing; biomedical electronics; cellular biophysics; computational complexity; data compression; field programmable gate arrays; CTW+LZ; Cfact; DNA compression programs; DNA sequence data; DNA sequence oriented compression methods; DNACompress; DNADP; HEMCMVCG; LRE; RLE method; biocompress; chromosomes sequence file; compression ratio; computational complexity; delta encoding; duo processor; standard benchmark sequences; Data compression; Delta Encoding; Field programmable gate arrays (FPGA); Run-length encoding; Sequence alignment; Variable Integers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-1183-0
  • Type

    conf

  • DOI
    10.1109/BMEI.2012.6512909
  • Filename
    6512909