Outlier analysis for gene expression data
Journal of Computer Science and Technology - Special issue on bioinformatics
Efficient algorithms for regular expression constrained sequence alignment
Information Processing Letters
Constrained sequence alignment: A general model and the hardness results
Discrete Applied Mathematics
Improvement of performance of MegaBlast algorithm for DNA sequence alignment
Journal of Computer Science and Technology
Algorithms for loosely constrained multiple sequence alignment
CIS'04 Proceedings of the First international conference on Computational and Information Science
Efficient algorithms for regular expression constrained sequence alignment
CPM'06 Proceedings of the 17th Annual conference on Combinatorial Pattern Matching
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From the Publisher:Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine. This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject. Not for sale in China, including Hong Kong