Data Mining in Bioinformatics

JasonT.L Wang, Mohammed J. Zaki, Dennis Shasha, Hannu T.T. Toivonen

350 pages, parution le 26/10/2004

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Résumé

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.

Written for:
Bioinformatic specialists in academia and industry e.g., pharmaceuticals, data mining researchers, postgraduates

L'auteur - Dennis Shasha

Dennis Shasha est professeur d'informatique au Courant Institute of Mathematical Science de la New York University. Il a publié Jeux d'esprit et énigmes mathématiques, tome I (Les Aventures extraordinaires du Dr Ecco)et tome II (Codes, mystères et complots).

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Sommaire

Part I - Overview
- An Introduction to Data Mining in Bioinformatics
- A Survey of Bio-Data Analysis from Data Mining Perspective
Part II - Sequence and Structure Alignment
- ANTICLUSTRAL: Multiple Sequence Alignment by Antipole Clustering
- RNA Structure Comparison and Alignment
Part III - Biological Data Mining
- 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
Part IV - Biological Data Managment Phyloinformatics: Towards a Phylogenetic Database
- Declarative and Efficinet Querying on Protein Secondary Structures
- Scalable Index Structures for Biological Data Glossary

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	JasonT.L Wang, Mohammed J. Zaki, Dennis Shasha, Hannu T.T. Toivonen
Parution	26/10/2004
Nb. de pages	350
Format	16 x 24
Couverture	Relié
Poids	620g
Intérieur	Noir et Blanc
EAN13	9781852336714
ISBN13	978-1-85233-671-4