Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Two Challenges in Genomics That Can Benefit From Peta-Scale Platforms
University of Houston, Department of Computer Science, United States.
2006 (English)In: Euro-Par 2006 Workshops: Parallel Processing / [ed] Lehner, W; Meyer, N; Streit, A; Stewart, C, BERLIN: Springer, 2006, 313-322 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
BERLIN: Springer, 2006. 313-322 p.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 4375
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-63142DOI: 10.1007/978-3-540-72337-0_31Archive number: 000247066100031OAI: oai:DiVA.org:kth-63142DiVA: diva2:481693
Conference
12th Euro-Par 2006 Workshops. Tech Univ Dresden, Dresden, GERMANY. AUG 29-SEP 01, 2006
Note
QC 20120124Available from: 2012-01-22 Created: 2012-01-22 Last updated: 2012-01-24Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Johnsson, Lennart
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 24 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf