• DocumentCode
    2737823
  • Title

    Workshop: Characterization of structural variants with next generation DNA sequencing

  • Author

    Raphael, Benjamin ; Sindi, Suzanne ; Ritz, Anna ; Bashir, Ali

  • Author_Institution
    Brown Univ., Providence, RI, USA
  • fYear
    2011
  • fDate
    3-5 Feb. 2011
  • Firstpage
    275
  • Lastpage
    275
  • Abstract
    Algorithms for structural variant identification from paired reads and from strobe reads are introduced. For paired reads, GASV+CC and GASV-Prob are designed. Each of these is built on the established Geometric Analysis of Structural Variants (GASV) program that precisely localizes the breakpoints of variants. GASV+CC combines read depth and paired reads analysis. GASV-Prob also includes paired reads with multiple possible alignments to the reference. The algorithms use a probability model to derive the likelihood of a structural variant. An algorithm for structural variation detection from strobe sequencing data is also presented. This algorithm formulates the problem of selecting an alignment for each subread of a strobe as an integer linear programming (ILP) problem, which was solve using standard approaches .
  • Keywords
    DNA; biology computing; geometric programming; integer programming; linear programming; molecular biophysics; molecular configurations; probability; GASV+CC; GASV-Prob; geometric analysis; integer linear programming; next generation DNA sequencing; paired reads; probability model; strobe reads; strobe sequencing data; structural variants; Algorithm design and analysis; Bioinformatics; Biological system modeling; DNA; Data models; Genomics; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-61284-851-8
  • Type

    conf

  • DOI
    10.1109/ICCABS.2011.5729929
  • Filename
    5729929