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Book synopsis

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.§§

Book details

Book category Books in English Mathematics & science Biology, life sciences Life sciences: general issues

• Full title: Data Mining Techniques for the Life Sciences
• Author: Oliviero Carugo, Frank Eisenhaber
• Language: English
• Binding: Hardback
• Number of pages: 552
• EAN: 9781493935703
• ISBN: 1493935704
• ID: 02862370
• Publisher: Humana Press Inc.
• Weight: 1671 g
• Dimensions: 254 × 178 × 33 mm
• Date of publishing: 27. April 2016

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