Jason T. L. Wang / Mohammed J. Zaki / Hannu T.T. Toivonen / Dennis E. Shasha (eds.)

Data Mining in Bioinformatics

By J. T. L. Wang, Mohammed J. Zaki, H. T. T. Toivonen et al.

• Gebundenes Buch

Produktbeschreibung

The goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as:

- preprocessing tasks such as data cleaning and data integration as applied to biological data

- classification and clustering techniques for microarrays

- comparison of RNA structures based on string properties and energetics

- discovery of the sequence characteristics of different parts of the genome

- mining of haplotypes to find disease markers

- sequencing of events leading to the folding of a protein

- inference of the subcellular location of protein activity

- classification of chemical compounds based on structure

- special purpose metrics and index structures for phylogenetic applications

- a new query language for protein searching based on the shape of proteins

- very fast indexing schemes for sequences and pathways

Aimed at computer scientists, necessary biology is explained.

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Produktdetails

• Advanced Information and Knowledge Processing
• Verlag: Springer, Berlin
• Artikelnr. des Verlages: 10886107
• 2005 edition
• Seitenzahl: 340
• Erscheinungstermin: 18. Oktober 2004
• Englisch
• Abmessung: 241mm x 163mm x 21mm
• Gewicht: 618g
• ISBN-13: 9781852336714
• ISBN-10: 1852336714
• Artikelnr.: 12954492

Autorenporträt

Jason T.L. Wang, New Jersey Institute of Technology, Livingston, NJ, USA / Mohammed J. Zaki, Rensselaer Polytechnic Institute,Troy, NY, USA / Hannu T.T. Toivonen, University of Helsinki, Helsinki, Finland / Dennis Shasha, University of New York, NY, USA

Inhaltsangabe

An Introduction to Data Mining in Bioinformatics.- A Survey of Bio-Data Analysis from Data Mining Perspective.- ANTICLUSTRAL: Multiple Sequence Alignment by Antipole Clustering.- RNA Structyre Comparison and Alignment.- Piecewise Constant Modeling of Sequential Data using Reversible Jump Markov Chain Monte Carlo.- Gene Mapping by Pattern Discovery.- Prediciting Protein Folding Pathways.- Data Mining Methods for a Systematics of Protein Subcellular Location.- Mining Chemical Compounds.- Phyloinformatics: Towards a Phylogenetic Database.- Declarative and Efficinet Querying on Protein Secondary Sturctures.- Scalable Index Structures for Biological Data.- Glossary.- References.- Biographies.- Index.