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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 (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.
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-63142DOI: 10.1007/978-3-540-72337-0_31Archive number: 000247066100031OAI: diva2:481693
12th Euro-Par 2006 Workshops. Tech Univ Dresden, Dresden, GERMANY. AUG 29-SEP 01, 2006
QC 20120124Available from: 2012-01-22 Created: 2012-01-22 Last updated: 2012-01-24Bibliographically approved

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Johnsson, Lennart
Computer and Information Science

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