Presentation 2014-06-12
Highly-Parallel FPGA Accelerator for DNA Sequence Alignment Using the Burrows-Wheeler Algorithm
Hasitha Muthumala WAIDYASOORIYA, Masanori HARIYAMA, Michitaka KAMEYAMA,
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Abstract(in English) The mapping of millions of short DNA fragments to a large genome is a very important aspect of the modern bioinformatics. However, software-based DNA sequence mapping takes many days to complete. This paper proposes an FPGA-based hardware accelerator to increase the mapping speed. Proposed accelerator maps over hundred short DNA fragments simultaneously. We apply a data encoding scheme that reduces the genome data size to just 4%, and propose a hardware decoder to decode the data in single clock cycle. We also design customized data paths to increase the speed for random data access. According to the experimental results, the speed-up of the proposed architecture is 15 times compared to its equivalent software application.
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Keyword(in English) Short-read mapping / FPGA / Human DNA mapping
Paper # RECONF2014-4
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Committee RECONF
Conference Date 2014/6/4(1days)
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Registration To Reconfigurable Systems (RECONF)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Highly-Parallel FPGA Accelerator for DNA Sequence Alignment Using the Burrows-Wheeler Algorithm
Sub Title (in English)
Keyword(1) Short-read mapping
Keyword(2) FPGA
Keyword(3) Human DNA mapping
1st Author's Name Hasitha Muthumala WAIDYASOORIYA
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Masanori HARIYAMA
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Michitaka KAMEYAMA
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2014-06-12
Paper # RECONF2014-4
Volume (vol) vol.114
Number (no) 75
Page pp.pp.-
#Pages 4
Date of Issue