High-speed Multiple Sequence Alignment on a reconfigurable platform

Authors:
Tim Oliver;Bertil Schmidt;Douglas Maskell;Darran Nathan;Ralf Clemens
Affiliations:
School of Computer Engineering, Nanyang Technological University, 639798, Singapore.;School of Computer Engineering, Nanyang Technological University, 639798, Singapore.;School of Computer Engineering, Nanyang Technological University, 639798, Singapore.;Project Proteus, School of Engineering, Ngee Ann Polytechnic, 599489, Singapore.;Project Proteus, School of Engineering, Ngee Ann Polytechnic, 599489, Singapore
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2006

Citing 3
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Abstract

Progressive alignment is a widely used approach to compute multiple sequence alignments (MSAs). However, aligning several hundred sequences by popular progressive alignment tools requires hours on sequential computers. Due to the rapid growth of sequence databases biologists have to compute MSAs in a far shorter time. In this paper we present a new approach to MSA on reconfigurable hardware platforms to gain high performance at low cost. We have constructed a linear systolic array to perform pairwise sequence distance computations using dynamic programming. This results in an implementation with significant runtime savings on a standard FPGA.