• DocumentCode
    3037209
  • Title

    Compression of Next Generation Sequencing Data

  • Author

    Nalbantoglu, O.U. ; Riffle, A. ; Sayood, K.

  • Author_Institution
    Dept. of Comput. Eng., Erciyes Univ., Kayseri, Turkey
  • fYear
    2015
  • fDate
    7-9 April 2015
  • Firstpage
    464
  • Lastpage
    464
  • Abstract
    Summary form only given. FASTQ is the defacto standard for data from next generation sequencing platforms. The FASTQ format uses four lines per read: two lines for header information, one for the sequence itself, and one for the quality scores. The proposed compression scheme treats the various lines of each four line set differently. The highly repetitive headers are encoded using an LZ77 variant. The reads themselves are compressed using a modified LZ78 method which uses a backward adaptive dictionary. The quality factors are encoded using a context based arithmetic coding scheme. Performance results for the proposed method were obtained using data generated via a sequencing simulation of a random 50kbp section from Escherichia coli str. K-12 substr. DH10B chromosome with 35X and 100X coverages. The two best performing methods for FASTQ compression, Fastqz and Fqzcomp were used to compress the same data. These methods performed the best in a competition to compress next generation sequencing data. We also compare the results to two general purpose compressors bzip and LZMA. The results are shown in Table.
  • Keywords
    arithmetic codes; data compression; DH10B chromosome; Escherichia coli; FASTQ compression; Fastqz; Fqzcomp; LZ77 variant; LZ78 method; LZMA; backward adaptive dictionary; compression scheme; compressors bzip; context based arithmetic coding scheme; defacto standard; header information; next generation sequencing data compression; next generation sequencing platform; quality factor; quality score; sequencing simulation; Computers; Data compression; Electrical engineering; Encoding; Next generation networking; Sequential analysis; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2015
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2015.92
  • Filename
    7149327