Abstract
Text matching with errors is a regular task in computational biology. We present an extension of the bit-parallel Wu-Manber algorithm [16] to combine several searches for a pattern into a collection of fixed-length words. We further present an OpenCL parallelization of a redundant index on massively parallel multicore processors, within a framework of searching for similarities with seed-based heuristics. We successfully implemented and ran our algorithms on GPU and multicore CPU. Some speedups obtained are more than 60×.
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Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. J. Mol. Biol. 215(3), 403–413 (1990)
Baeza-Yates, R.A., Gonnet, G.H.: A new approach to text searching. SIGIR Forum 23(3-4), 7 (1989)
Brown, D.G.: A survey of seeding for sequence alignment. In: Bioinformatics Algorithms: Techniques and Applications, pp. 126–152 (2008)
Charalambous, M., Trancoso, P., Stamatakis, A.P.: Initial Experiences Porting a Bioinformatics Application to a Graphics Processor. In: Bozanis, P., Houstis, E.N. (eds.) PCI 2005. LNCS, vol. 3746, pp. 415–425. Springer, Heidelberg (2005)
Gummaraju, J., Morichetti, L., Houston, M., Sander, B., Gaster, B.R., Zheng, B.: Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors. In: Parallel Architectures and Compilation Techniques (PACT 2010), pp. 205–216 (2010)
Gusfield, D.: Algorithms on Strings, Trees, and Sequences (1997)
Hennessy, J.L., Patterson, D.A.: Computer Architecture, A Quantitative Approach. Morgan Kaufmann (2006)
Hirashima, K., Bannai, H., Matsubara, W., Ishino, A., Shinohara, A.: Bit-parallel algorithms for computing all the runs in a string. In: Prague Stringology Conference, PSC 2009 (2009)
Ma, B., Tromp, J., Li, M.: PatternHunter: faster and more sensitive homology search. Bioinformatics 18(3), 440–445 (2002)
Navarro, G.: NR-grep: a fast and flexible pattern-matching tool. Software: Practice and Experience 31(13), 1265–1312 (2001)
Navarro, G., Raffinot, M.: Flexible Pattern Matching in Strings – Practical on-line search algorithms for texts and biological sequences (2002)
Noé, L., Kucherov, G.: YASS: enhancing the sensitivity of DNA similarity search. Nucleic Acids Research 33(S2), W540–W543 (2005)
Peterlongo, P., Noé, L., Lavenier, D., Nguyen, V.H., Kucherov, G., Giraud, M.: Optimal neighborhood indexing for protein similarity search. BMC Bioinformatics 9(534) (2008)
Pisanti, N., Giraud, M., Peterlongo, P.: Filters and Seeds Approaches for Fast Homology Searches in Large Datasets. Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (2011)
Varré, J.-S., Schmidt, B., Janot, S., Giraud, M.: Manycore High-Performance Computing in Bioinformatics. In: Advances in Genomic Sequence Analysis and Pattern Discovery. World Scientific (2011)
Wu, S., Manber, U.: Fast Text Searching Allowing Errors. Communications of the ACM 35(10), 83–91 (1992)
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Tran, T.T., Giraud, M., Varré, JS. (2012). Bit-Parallel Multiple Pattern Matching. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2011. Lecture Notes in Computer Science, vol 7204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31500-8_30
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DOI: https://doi.org/10.1007/978-3-642-31500-8_30
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