Two challenges in genomics that can benefit from petascale platforms

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Putonti, C., Meizhuo, Z., Johnsson, L., & Fofanov, Y. (2007). Two challenges in genomics that can benefit from petascale platforms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4375 LNCS, pp. 313–322). Springer Verlag. https://doi.org/10.1007/978-3-540-72337-0_31

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