Data Mining Techniques for the Life Sciences

Author:   Oliviero Carugo ,  Frank Eisenhaber
Publisher:   Humana Press Inc.
Edition:   2010 ed.
Volume:   609
ISBN:  

9781603272407


Pages:   407
Publication Date:   14 December 2009
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Data Mining Techniques for the Life Sciences


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Full Product Details

Author:   Oliviero Carugo ,  Frank Eisenhaber
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   2010 ed.
Volume:   609
Dimensions:   Width: 17.80cm , Height: 2.30cm , Length: 25.40cm
Weight:   2.080kg
ISBN:  

9781603272407


ISBN 10:   1603272402
Pages:   407
Publication Date:   14 December 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Databases.- Nucleic Acid Sequence and Structure Databases.- Genomic Databases and Resources at the National Center for Biotechnology Information.- Protein Sequence Databases.- Protein Structure Databases.- Protein Domain Architectures.- Thermodynamic Database for Proteins: Features and Applications.- Enzyme Databases.- Biomolecular Pathway Databases.- Databases of Protein–Protein Interactions and Complexes.- Data Mining Techniques.- Proximity Measures for Cluster Analysis.- Clustering Criteria and Algorithms.- Neural Networks.- A User’s Guide to Support Vector Machines.- Hidden Markov Models in Biology.- Database Annotations and Predictions.- Integrated Tools for Biomolecular Sequence-Based Function Prediction as Exemplified by the ANNOTATOR Software Environment.- Computational Methods for Ab Initio and Comparative Gene Finding.- Sequence and Structure Analysis of Noncoding RNAs.- Conformational Disorder.- Protein Secondary Structure Prediction.- Analysis and Prediction of Protein Quaternary Structure.- Prediction of Posttranslational Modification of Proteins from Their Amino Acid Sequence.- Protein Crystallizability.

Reviews

From the reviews: The book consists of three parts with 22 chapters prepared by well-known experts from many countries. ! book will be useful for students and researchers, such as biochemists, molecular biologists, and biotechnologists, who wish to get a condensed introduction to the world of biological databases and their applications related to various aspects of life science. (G. Ya. Wiederschain, Biochemistry, Vol. 76 (4), 2011) Provides a comprehensive overview and reference for molecular biologists and bioinformaticians as to the goals and scope of each database in each category. ! The chapters are well written and provide a good introduction to the addressed topics ! . Each chapter is an interesting and informative read in itself ! . Overall, this edited volume provides a good reference to the current state of bioinformatics-related databases and as an introduction to the more common machine-learning techniques in bioinformatics. (Iddo Friedberg, The Quarterly Review of Biology, Vol. 86, December, 2011)


From the reviews: The book consists of three parts with 22 chapters prepared by well-known experts from many countries. ! book will be useful for students and researchers, such as biochemists, molecular biologists, and biotechnologists, who wish to get a condensed introduction to the world of biological databases and their applications related to various aspects of life science. (G. Ya. Wiederschain, Biochemistry, Vol. 76 (4), 2011)


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