High performance and resource efficient biological sequence alignment

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2010Publisher:IEEEJournal:2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

Authors: Laiq, Hasan; Zaid, Al-Ars; Mottaqiallah, Taouil;

doi: 10.1109/iembs.2010.5626740

pmid: 21096417

High performance and resource efficient biological sequence alignment

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Abstract

In this paper, we present a novel method based on hardware partitioning to reduce the execution time and improve the resource utilization of biological sequence align- ment, resulting in a higher performance as compared to conventional approaches. The paper shows that the method reduces the execution time and improves the resource utilization up to 33.3%. Further, equations are derived, showing the general trend of execution time reduction, resource utilization improvement and hence performance enhancement.

Related Organizations

Delft University of Technology
Netherlands

Keywords

Sequence Alignment, Sequence Analysis, Algorithms, Pattern Recognition, Automated

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