NDLI: Quick-MLCS: a new algorithm for the multiple longest common subsequence problem

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Quick-MLCS: a new algorithm for the multiple longest common subsequence problem

Content Provider	ACM Digital Library
Author	Saadati, Nayyereh Sazvar, Majid Naghibzadeh, Mahmoud
Abstract	Finding the longest common subsequence (LCS) of multiple strings is a well-known problem that has many applications in various fields, such as computational biology and computational genomics. This problem has been studied by a number of researchers and over the years, its complexity has been improved from various aspects. This paper presents a new algorithm for the general case of multiple LCS (MLCS) which is based on one of the fastest existing algorithms. The proposed algorithm is founded on the dominant point approach and uses a linear sorting technique to minimize the dominant points set. The main idea is that, after linearly sorting dominant points, a one-pass linear algorithm can minimize the dominant points set. The results of theoretical and experimental evaluations indicate that the efficiency of the newly proposed algorithm in different scenarios is better than the fastest existing algorithm.
Starting Page	61
Ending Page	66
Page Count	6
File Format	PDF
ISBN	9781450310840
DOI	10.1145/2347583.2347591
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-06-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Linear sorting Dominant point approach Longest common subsequence Multiple longest common subsequence Protein sequence Dna sequence
Content Type	Text
Resource Type	Article

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