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
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;
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location :
Bologna
Print_ISBN :
978-1-4799-5312-7
DOI :
10.1109/HPCSim.2014.6903743