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Hardware Acceleration of Genetic Sequence Alignment

  • J. Arram
  • K. H. Tsoi
  • Wayne Luk
  • P. Jiang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7806)

Abstract

Next generation DNA sequencing machines have been improving at an exceptional rate; the subsequent analysis of the generated sequenced data has become a bottleneck in current systems. This paper explores the use of reconfigurable hardware to accelerate the short read mapping problem, where the positions of millions of short DNA sequences are located relative to a known reference sequence. The proposed design comprises of an alignment processor based on a backtracking variation of the FM-index algorithm. The design represents a full solution to the short read mapping problem, capable of efficient exact and approximate alignment. We use reconfigurable hardware to accelerate the design and find that an implementation targeting the MaxWorkstation performs considerably faster and more energy efficient than current CPU and GPU based software aligners.

Keywords

Reference Sequence External Memory Memory Bandwidth Short Read Design Latency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • J. Arram
    • 1
  • K. H. Tsoi
    • 1
  • Wayne Luk
    • 1
  • P. Jiang
    • 2
  1. 1.Department of ComputingImperial College LondonUnited Kingdom
  2. 2.Department of Chemical PathologyThe Chinese University of Hong KongChina

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