2005Unpublished venueRequires access

Voting algorithms for discovering long motifs

Fyl Chin, Hcm Leung

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Abstract

Pevzner and Sze [14] have introduced the Planted (l,d)-Motif Problem to find similar patterns (motifs) in sequences which represent the promoter region of co-regulated genes. l is the length of the motif and d is the maximum Hamming distance around the similar patterns. Many algorithms have been developed to solve this motif problem. However, these algorithms either have long running times or do not guarantee the motif can be found. In this paper, we introduce new algorithms to solve the motif problem. Our algorithms can find motifs in reasonable time for not only the challenging (9,2), (11,3), (15,5)-motif problems but for even longer motifs, say (20,7), (30,11) and (40,15), which have never been seriously attempted by other researchers because of heavy time and space requirements. 1

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What this paper is about

Pevzner and Sze [14] have introduced the Planted (l,d)-Motif Problem to find similar patterns (motifs) in sequences which represent the promoter region of co-regulated genes. l is the length of the motif and d is the maximum Hamming distance around the similar patterns. Many algorithms have been developed to solve this motif problem. However, these algorithms either have long running times or do not guarantee the motif can be found. In this paper, we introduce new algorithms to solve the motif problem. Our algorithms can find motifs in reasonable time for not only the challenging (9,2), (11,3), (15,5)-motif problems but for even longer motifs, say (20,7), (30,11) and (40,15), which have never been seriously attempted by other researchers because of heavy time and space requirements. 1

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Available abstract

Pevzner and Sze [14] have introduced the Planted (l,d)-Motif Problem to find similar patterns (motifs) in sequences which represent the promoter region of co-regulated genes. l is the length of the motif and d is the maximum Hamming distance around the similar patterns. Many algorithms have been developed to solve this motif problem. However, these algorithms either have long running times or do not guarantee the motif can be found. In this paper, we introduce new algorithms to solve the motif problem. Our algorithms can find motifs in reasonable time for not only the challenging (9,2), (11,3), (15,5)-motif problems but for even longer motifs, say (20,7), (30,11) and (40,15), which have never been seriously attempted by other researchers because of heavy time and space requirements. 1

Key concepts: Motif (music), Voting, Algorithm, Computer science, Combinatorics, Mathematics, Philosophy, Law

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