Keywords

biological sequence alignment, genetic data, DNA sequencing

Abstract

Biological sequence alignment is an essential tool used in molecular biology and biomedical applications. The growing volume of genetic data and the complexity of sequence alignment present a challenge in obtaining alignment results in a timely manner. Known methods to accelerate alignment on reconfigurable hardware only address sequence comparison, limit the sequence length, or exhibit memory and I/O bottlenecks. A space-efficient, global sequence alignment algorithm and architecture is presented that accelerates the forward scan and traceback in hardware without memory and I/O limitations. With 256 processing elements in FPGA technology, a performance gain over 300 times that of a desktop computer is demonstrated on sequence lengths of 16000. For greater performance, the architecture is scalable to more processing elements.

Original Publication Citation

Hardware Accelerated Sequence Alignment with Traceback, Scott Lloyd and Quinn O. Snell, International Journal of Reconfigurable Computing, vol. 29, Article ID 762362, 1 pages, 29. doi:1.1155/29/762362.

Document Type

Peer-Reviewed Article

Publication Date

2009-01-01

Permanent URL

http://hdl.lib.byu.edu/1877/2576

Publisher

Hindawi

Language

English

College

Physical and Mathematical Sciences

Department

Computer Science

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