Optimal superprimitivity testing for strings
Information Processing Letters
The power of amnesia: learning probabilistic automata with variable memory length
Machine Learning - Special issue on COLT '94
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
A Space-Economical Suffix Tree Construction Algorithm
Journal of the ACM (JACM)
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
A Statistical Method for Finding Transcription Factor Binding Sites
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Simple and Flexible Detection of Contiguous Repeats Using a Suffix Tree (Preliminary Version)
CPM '98 Proceedings of the 9th Annual Symposium on Combinatorial Pattern Matching
Finding Maximal Pairs with Bounded Gap
CPM '99 Proceedings of the 10th Annual Symposium on Combinatorial Pattern Matching
Finding Maximal Repetitions in a Word in Linear Time
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
MISAE: A New Approach for Regulatory Motif Extraction
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Overlapping repetitions in weighted sequence
Proceedings of the CUBE International Information Technology Conference
Compressed property suffix trees
Information and Computation
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In this paper we introduce the Weighted Suffix Tree, an efficient data structure for computing string regularities in weighted sequences of molecular data. Molecular Weighted Sequences can model important biological processes such as the DNA Assembly Process or the DNA-Protein Binding Process. Thus pattern matching or identification of repeated patterns, in biological weighted sequences is a very important procedure in the translation of gene expression and regulation. We present time and space efficient algorithms for constructing the weighted suffix tree and some applications of the proposed data structure to problems taken from the Molecular Biology area such as pattern matching, repeats discovery, discovery of the longest common subsequence of two weighted sequences and computation of covers.