A Unified Approach for Reconstructing Ancient Gene Clusters
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
MADMX: a novel strategy for maximal dense motif extraction
WABI'09 Proceedings of the 9th international conference on Algorithms in bioinformatics
VARUN: Discovering Extensible Motifs under Saturation Constraints
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Journal of Discrete Algorithms
A combinatorial model of phyllotaxis perturbations in Arabidopsis thaliana
CPM'11 Proceedings of the 22nd annual conference on Combinatorial pattern matching
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Note: Extracting string motif bases for quorum higher than two
Theoretical Computer Science
Mining sequential patterns with extensible knowledge representation
Intelligent Data Analysis
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The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. It explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions. Each of these classes captures a different form of regularity in the data, providing possible answers to a wide range of questions. The book also reviews basic statistics, including probability, information theory, and the central limit theorem. This self-contained book provides a solid foundation in computational methods, enabling the solution of difficult biological questions.