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[1]A. Aggarwal, J. Park, Notes on searching in multidimensional monotone arrays, in: Proc. 29th Annual IEEE Symposium on Foundations of Computer Science, White Plains, NY, USA, 1988, pp. 497-512. [2]B. Alberts, D. Bray, J. Lewis, M. Raff, K. Roberts, J.D. Watson, Molecular Biology of the Cell, Garland, New York, 1983. [3]A. Apostolico, M.J. Atallah, L.L. Larmore, S. McFaddin, Efficient parallel algorithms for string editing and related problems, SIAM Journal on Computing 19 (5) (1990) 968-988 [4]M.J. Flynn, K.W. Rudd, Parallel architectures, ACM Computing Surveys 28 (1) (1996) 67-70. [5]G.M. Landau, E.W. Myers, J.P. Schmidt, Incremental string comparison, SIAM Journal on Computing 27 (2) (1998) 557-582. [6]T. Lecroq, G. Luce, J.F. Myoupo, A faster linear systolic algorithm for recovering a longest common subsequence, Information Processing Letters 61 (3) (1997) 129 - 136. [7]Y.-C. Lin, New systolic arrays for the longest common subsequence problem, Parallel Computing 20 (9) (1994) 1323 - 1334. [8]Y.-C. Lin, J.-C. Chen, Another efficient systolic algorithm for the longest common subsequence problem, Journal of the Chinese Institute of Engineers 23 (5) (2000) 607-613. [9]Y.-C. Lin, J.-C. Chen, An efficient systolic algorithm for the longest common subsequence problem, The Journal of Supercomputing 12 (4) (1998) 373-385. [10]Y.-C. Lin, J.-W. Yeh, A scalable and efficient systolic algorithm for the longest common subsequence problem, Journal of Information Science and Engineering 18 (4) (2002) 519-532. [11]W. Liu, L. Chen, A parallel algorithm for solving LCS of multiple bioseqences, in: Proc. International Conference on Machine Learning and Cybernetics, Dalian, 2006, pp. 4316 - 4321. [12]M. Lu, H. Lin, Parallel algorithms for the longest common subsequence problem, IEEE Transactions on Parallel and Distributed Systems 5 (8) (1994) 835 - 848 [13]G. Luce, J.F. Myoupo, An efficient linear systolic algorithm for recovering longest common subsequences, in: Proc. IEEE First International Conference on Algorithms and Architectures for Parallel Processing, Brisbane, Qld., Australia, vol. 1, 1995, pp. 20-29. [14]S.S. Mader, Biology, 7th ed., McGraw-Hill, Toronto, 2001. [15]A. Marzal, G. Peris, Normalized cyclic edit distances: An efficient algorithm, in: Proc. 10th Conference of the Spanish Association for Artificial Intelligence, San Sebastian, Spain, 2003, pp. 435-444. [16]F. Nicolas, E. Rivals, Longest common subsequence problem for unoriented and cyclic strings, Theoretical Computer Science 370 (2007) 1-18. [17]P. Quinton, Y. Robert, Systolic Algorithms & Architectures, Prentice Hall, New Jersey, 1991. [18]S.A.M. Rizvi, P. Agarwal, A new bucket-based algorithm for finding LCS from two given molecular sequences, in: Proc. The Third International Conference on Information Technology: New Generations 2006, pp. 560 - 561 [19]Y. Robert, M. Tchuente, A systolic array for the longest common subsequence problem, Information Processing Letters 21 (4) (1985) 191-198. [20]J.P. Schmidt, All highest scoring paths in weighted grid graphs and their application to finding all approximate repeats in strings, SIAM Journal on Computing 27 (4) (1998) 972-992. [21]D. Seme, S. Youlou, Computing the longest common subsequence on a linear array with reconfigurable pipelined bus system., in: Proc. ISCA 18th International Conference on Parallel and Distributed Computing Systems, Las Vegas, Nevada, USA, 2005, pp. 49-54. [22]A. Tiskin, Semi-local string comparison: Algorithmic techniques and applications, Mathematics in Computer Science 1 (4) (2008) 571-603. [23]Y.-H. Wang, Image indexing and similarity retrieval based on spatial relationship model, Information Sciences 154 (1-2) (2003) 39-58. [24]B. Wilkinson, M. Allen, Parallel Programming: Techniques and Applications using Networked Workstations and Parallel Computers, 2nd ed., Prentice Hall, New Jersey, 2005.
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