A Bit-Parallel, General Integer-Scoring Sequence Alignment Algorithm

  • Gary Benson
  • Yozen Hernandez
  • Joshua Loving
Conference paper

DOI: 10.1007/978-3-642-38905-4_7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7922)
Cite this paper as:
Benson G., Hernandez Y., Loving J. (2013) A Bit-Parallel, General Integer-Scoring Sequence Alignment Algorithm. In: Fischer J., Sanders P. (eds) Combinatorial Pattern Matching. CPM 2013. Lecture Notes in Computer Science, vol 7922. Springer, Berlin, Heidelberg

Abstract

Mapping of next-generation sequencing data and other pro-cessor-intensive sequence comparison applications have motivated a continued search for high efficiency sequence alignment algorithms. In one approach, which exploits the inherent parallelism in computer logic calculations, individual cells in an alignment scoring matrix are represented as bits in a computer word and the calculation of scores is emulated by a series of bit operations comprised of AND, OR, XOR, complement, shift, and addition. Bit-parallelism has been successfully applied to the Longest Common Subsequence (LCS) and edit-distance problems, producing solutions which are significantly faster than standard implementations. But, the intensive mental effort required to produce these solutions, which are closely tied to special properties of the problems, has limited efforts to extend bit-parallelism to more general scoring schemes. In this paper, we give the first bit-parallel solution for general, integer-scoring global alignment. Integer-scoring schemes, which are widely used, assign integer weights for match, mismatch, and insertion/deletion or indel. Our method depends on structural properties of the relationship between adjacent scores in the scoring matrix. We utilize these properties to construct a class of efficient algorithms, each designed for a particular set of weights, and we introduce a standard for characterizing the efficiency in terms of the average number of bit-operations per cell of the original scoring matrix.

Keywords

bit-parallelism global sequence alignment integer weights 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Gary Benson
    • 1
    • 2
    • 3
  • Yozen Hernandez
    • 1
    • 2
  • Joshua Loving
    • 1
    • 2
  1. 1.Laboratory for Biocomputing and InformaticsBoston UniversityBostonUSA
  2. 2.Graduate Program in BioinformaticsBoston UniversityBostonUSA
  3. 3.Department of Computer ScienceBoston UniversityBostonUSA

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