Two challenges in genomics that can benefit from petascale platforms

Catherine Putonti, Zhang Meizhuo, Lennart Johnsson, Yuriy Fofanov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Supercomputing and new sequencing techniques have dramatically increased the number of genomic sequences now publicly available. The rate in which new data is becoming available, however, far exceeds the rate in which one can perform analysis. Examining the wealth of information contained within genomic sequences presents numerous additional computational challenges necessitating high-performance machines. While there are many challenges in genomics that can greatly benefit from the development of more expedient machines, herein we will focus on just two projects which have direct clinical applications.

Original languageEnglish (US)
Title of host publicationEuro-Par 2006 Workshops
Subtitle of host publicationParallel Processing - CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics, Revised Selected Papers
Pages313-322
Number of pages10
StatePublished - Dec 1 2007
Event12th Euro-Par Conference on Petascale Computational Biology and Bioinformatics Workshop, CoreGRID 2006, UNICORE Summit 2006 - Dresden, Germany
Duration: Aug 29 2006Sep 1 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4375 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th Euro-Par Conference on Petascale Computational Biology and Bioinformatics Workshop, CoreGRID 2006, UNICORE Summit 2006
CountryGermany
CityDresden
Period8/29/069/1/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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