International Journal of Reconfigurable Computing (Jan 2009)

Hardware Accelerated Sequence Alignment with Traceback

  • Scott Lloyd,
  • Quinn O. Snell

DOI
https://doi.org/10.1155/2009/762362
Journal volume & issue
Vol. 2009

Abstract

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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.