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
Link To Document :
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