Editors:
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1415)
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Table of contents (27 protocols)
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Front Matter
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Databases
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Front Matter
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Computational Techniques
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Front Matter
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About this book
This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Edition guides readers through archives of macromolecular three-dimensional structures, databases of protein-protein interactions, thermodynamics information on protein and mutant stability, “Kbdock” protein domain structure database, PDB_REDO databank, erroneous sequences, substitution matrices, tools to align RNA sequences, interesting procedures for kinase family/subfamily classifications, new tools to predict protein crystallizability, metabolomics data, drug-target interaction predictions, and a recipe for protein-sequence-based function prediction and its implementation in the latest version of the ANNOTATOR software suite. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Data Mining Techniques for the Life Sciences, Second Edition aims to ensure successful results in the further study of this vital field.
Reviews
Editors and Affiliations
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Max F. Perutz Laboratories GmbH, Universität Wien, Wien, Austria
Oliviero Carugo
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Technology and Research (A*STAR), Agency for Science, Singapore, Singapore
Frank Eisenhaber
Bibliographic Information
Book Title: Data Mining Techniques for the Life Sciences
Editors: Oliviero Carugo, Frank Eisenhaber
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-3572-7
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2016
Hardcover ISBN: 978-1-4939-3570-3Published: 27 April 2016
Softcover ISBN: 978-1-4939-8081-9Published: 21 April 2018
eBook ISBN: 978-1-4939-3572-7Published: 26 April 2016
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 2
Number of Pages: XIII, 552
Number of Illustrations: 13 b/w illustrations, 84 illustrations in colour
Topics: Bioinformatics