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.
BYU ScholarsArchive Citation
Lloyd, Scott and Snell, Quinn O., "Hardware Accelerated Sequence Alignment with Traceback" (2009). Faculty Publications. 868.
https://scholarsarchive.byu.edu/facpub/868
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
Copyright Status
© 2009 Quinn Snell et al.
Copyright Use Information
http://lib.byu.edu/about/copyright/