Data Mining in Bioinformatics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Wu, Xindong (Editor), Jain, Lakhmi (Editor), Wang, Jason T.L (Editor), Zaki, Mohammed J. (Editor), Toivonen, Hannu T.T (Editor), Shasha, Dennis (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Computer programming.; Data structures (Computer science).; Database management.; Bioinformatics.; Computer Science.; Database Management.; Programming Techniques.; Information Systems Applications (incl. Internet).; Data Structures.; Data Storage Representation.

8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about the...

Table of Contents:

• Overview
• to Data Mining in Bioinformatics
• Survey of Biodata Analysis from a Data Mining Perspective
• Sequence and Structure Alignment
• AntiClustAl: Multiple Sequence Alignment by Antipole Clustering
• RNA Structure Comparison and Alignment
• Biological Data Mining
• Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo
• Gene Mapping by Pattern Discovery
• Predicting Protein Folding Pathways
• Data Mining Methods for a Systematics of Protein Subcellular Location
• Mining Chemical Compounds
• Biological Data Management
• Phyloinformatics: Toward a Phylogenetic Database
• Declarative and Efficient Querying on Protein Secondary Structures
• Scalable Index Structures for Biological Data.