Two challenges in genomics that can benefit from petascale platforms

Authors:
Catherine Putonti;Meizhuo Zhang;Lennart Johnsson;Yuriy Fofanov
Affiliations:
University of Houston, Department of Computer Science, Houston, Texas and University of Houston, Department of Biology and Biochemistry, Houston, Texas;University of Houston, Department of Computer Science, Houston, Texas;University of Houston, Department of Computer Science, Houston, Texas;University of Houston, Department of Computer Science, Houston, Texas and University of Houston, Department of Biology and Biochemistry, Houston, Texas
Venue:
Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing
Year:
2006

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Abstract

Supercomputing and newsequencing 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-performancemachines. 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.