Hardware Accelerated Sequence Alignment with Traceback

Joint Authors

Lloyd, Scott
Snell, Quinn O.

Source

International Journal of Reconfigurable Computing

Issue

Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-01-26

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Lloyd, Scott& Snell, Quinn O.. 2010. Hardware Accelerated Sequence Alignment with Traceback. International Journal of Reconfigurable Computing،Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-496781

Modern Language Association (MLA)

Lloyd, Scott& Snell, Quinn O.. Hardware Accelerated Sequence Alignment with Traceback. International Journal of Reconfigurable Computing No. 2009 (2009), pp.1-10.
https://search.emarefa.net/detail/BIM-496781

American Medical Association (AMA)

Lloyd, Scott& Snell, Quinn O.. Hardware Accelerated Sequence Alignment with Traceback. International Journal of Reconfigurable Computing. 2010. Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-496781

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-496781