• DocumentCode
    244626
  • Title

    ODESSA: A high performance analysis pipeline for Ultra Deep targeted Exome Sequencing data

  • Author

    D´Antonio, Mattia ; D´Onorio De Meo, Paolo ; Castrignano, Tiziana ; Erbacci, Giovanni ; Pallocca, Matteo ; Pesole, Graziano

  • Author_Institution
    SCAI Dept., CINECA Supercomput. Consortium, Bologna, Italy
  • fYear
    2014
  • fDate
    21-25 July 2014
  • Firstpage
    608
  • Lastpage
    615
  • Abstract
    The last decade has seen the development of a variety of so-called `next-generation´ sequencing (NGS) technologies, that have revolutionized the field of genomics and post-genomics. In cancer research area, as NGS permeates the cancer biomarker realm and cost of NGS declines, hospitals and clinics will deploy deep sequencing as a means to personalize cancer diagnostics and therapeutics. Here we provide a new automated high-performance bioinformatics web platform, ODESSA (Online Deep Exome Sequencing Software Analysis), developed for targeting genes at high coverage through deep sequencing with the maximum usability, and focused on rational diagnosis of targeted therapies.
  • Keywords
    Internet; bioinformatics; cancer; genomics; hospitals; medical diagnostic computing; patient diagnosis; patient treatment; NGS technologies; ODESSA; cancer biomarker; cancer diagnostics; cancer research area; cancer therapeutics; clinics; high performance analysis pipeline; high-performance bioinformatics Web platform; hospitals; next-generation sequencing technologies; online deep exome sequencing software analysis; post-genomics; ultra deep targeted exome sequencing data; Bioinformatics; Cancer; Databases; Genomics; Pipelines; Sequential analysis; Software; Illumina MiSeq; NGS; Next Generation Sequencing; bioinformatics; pipeline; targeted exome;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing & Simulation (HPCS), 2014 International Conference on
  • Conference_Location
    Bologna
  • Print_ISBN
    978-1-4799-5312-7
  • Type

    conf

  • DOI
    10.1109/HPCSim.2014.6903743
  • Filename
    6903743