Data Mining in Bioinformatics

Part I. Overview

1. Introduction to Data Mining in Bioinformatics
Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen, Dennis Shasha

2. Survey of Biodata Analysis from a Data Mining Perspective
Peter Bajcsy, Jiawei Han, Lei Liu, Jiong Yang

Part II. Sequence and Structure Alignment

3. AntiClustAl: Multiple Sequence Alignment by Antipole Clustering
Cinzia Pietro, Alfredo Ferro, Giuseppe Pigola, Alfredo Pulvirenti, Michele Purrello, Marco Ragusa, Dennis Shasha

4. RNA Structure Comparison and Alignment
Kaizhong Zhang

Part III. Biological Data Mining

5. Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo
Marko Salmenkivi, Heikki Mannila

6. Gene Mapping by Pattern Discovery
Petteri Sevon, Hannu T. T. Toivonen, Päivi Onkamo

7. Predicting Protein Folding Pathways
Mohammed J. Zaki, Vinay Nadimpally, Deb Bardhan, Chris Bystroff

8. Data Mining Methods for a Systematics of Protein Subcellular Location
Kai Huang, Robert F. Murphy

9. Mining Chemical Compounds
Mukund Deshpande, Michihiro Kuramochi, George Karypis

Part IV. Biological Data Management

10. Phyloinformatics: Toward a Phylogenetic Database
Roderic D. M. Page

11. Declarative and Efficient Querying on Protein Secondary Structures
Jignesh M. Patel, Donald P. Huddler, Laurie Hammel

12. Scalable Index Structures for Biological Data
Ambuj K. Singh

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Keywords: COMPUTERS / Computer Science COM014000