• DocumentCode
    3123859
  • Title

    Information theory for DNA sequencing: Part I: A basic model

  • Author

    Motahari, Abolfazl ; Bresler, Guy ; Tse, David

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    2741
  • Lastpage
    2745
  • Abstract
    DNA sequencing is the basic workhorse of modern day biology and medicine. Shotgun sequencing is the dominant technique used: many randomly located short fragments called reads are extracted from the DNA sequence, and these reads are assembled to reconstruct the original sequence. By drawing an analogy between the DNA sequencing problem and the classic communication problem, we define an information theoretic notion of sequencing capacity. This is the maximum number of DNA base pairs that can be resolved reliably per read, and provides a fundamental limit to the performance that can be achieved by any assembly algorithm. We compute the sequencing capacity explicitly for a simple statistical model of the DNA sequence and the read process.
  • Keywords
    DNA; information theory; molecular biophysics; DNA base pair; DNA sequencing; read extraction; sequencing capacity; shotgun sequencing; statistical model; Algorithm design and analysis; Assembly; Bioinformatics; DNA; Decoding; Genomics; Greedy algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6284020
  • Filename
    6284020