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Data Mining in Bioinformatics (Advanced Information and Knowledge Processing)

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Data Mining in Bioinformatics (Advanced Information and Knowledge Processing) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Synopsis:

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.

Table of Contents

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 Structyre 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 Sturctures Scalable Index Structures for Biological Data Glossary References Biographies Index

Product Details

ISBN:
9781852336714
Author:
Wang, Jason T. L. (edt)
Publisher:
Springer
Author:
Wang, Jason T. L.
Author:
Toivonen, Hannu
Author:
Toivonen, Hannu T. T.
Author:
Shasha, Dennis
Author:
Zaki, Mohammed J.
Author:
Shasha, Dennis E.
Subject:
Database Management - General
Subject:
Data warehousing
Subject:
Data mining
Subject:
XML
Subject:
Bioinformatics
Subject:
Database Management - Database Mining
Subject:
Life Sciences - Biochemistry
Subject:
Data Clustering
Subject:
computational molecular biology
Subject:
Protein and microarray gene expression
Subject:
Computers-Reference - General
Subject:
Database management
Subject:
Programming techniques
Subject:
Information Systems Applications (incl.Internet)
Subject:
Data structures
Subject:
Data Storage Representation
Copyright:
Edition Number:
1
Edition Description:
2005
Series:
Advanced Information and Knowledge Processing
Publication Date:
20040917
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
352
Dimensions:
235 x 155 mm 620 gr

Related Subjects

Business » General
Business » Management
Business » Writing
Computers and Internet » Computers Reference » Bioinformatics
Computers and Internet » Computers Reference » General
Health and Self-Help » Self-Help » General
Science and Mathematics » Biology » General
Science and Mathematics » Chemistry » Biochemistry

Data Mining in Bioinformatics (Advanced Information and Knowledge Processing) New Hardcover
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Product details 352 pages Springer UK - English 9781852336714 Reviews:
"Synopsis" by , Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
"Synopsis" by , 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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