• DocumentCode
    3542675
  • Title

    Comparative copy number variation from whole genome sequencing

  • Author

    Janevski, Angel ; Varadan, Vinay ; Kamalakaran, Sitharthan ; Banerjee, Nilanjana ; Dimitrova, Nevenka

  • Author_Institution
    Philips Res., Briarcliff Manor, NY, USA
  • fYear
    2011
  • fDate
    4-6 Dec. 2011
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    Whole genome sequencing enables a high resolution view of the human genome and enables unique insights into copy number variations on an unprecedented scale. Numerous tools and studies have already been introduced that provide confirmatory evidence and new genomic structure variation data in individuals as well as across populations. We utilize two such tools, CNV-seq and FREEC to compare their outputs when applied to five whole genome sequences representing four populations. We focus on the ability of these tools to detect segments from two sets of segments known to vary across populations, and discuss the direction and the challenges in developing tools that detect copy number variation in collections of human genomes.
  • Keywords
    bioinformatics; genetics; genomics; CNV-seq tool; FREEC tool; confirmatory evidence; copy number variation; genetic variation; genomic structure variation data; human genome; segment detection; whole genome sequencing; Aggregates; Bioinformatics; Distance measurement; Estimation; Genomics; Humans; Pipelines; copy number variation; genome variability; sequence alignment; sequence mappability; whole genome sequencing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
  • Conference_Location
    San Antonio, TX
  • ISSN
    2150-3001
  • Print_ISBN
    978-1-4673-0491-7
  • Electronic_ISBN
    2150-3001
  • Type

    conf

  • DOI
    10.1109/GENSiPS.2011.6169460
  • Filename
    6169460