Data Mining Techniques for the Life Sciences (Hardcover, 2nd ed. 2016)

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.

General

Imprint:	HumanaPress
Country of origin:	United States
Series:	Methods in Molecular Biology, 1415
Release date:	April 2016
First published:	2016
Editors:	Oliviero Carugo • Frank Eisenhaber
Dimensions:	254 x 178 x 32mm (L x W x T)
Format:	Hardcover
Pages:	552
Edition:	2nd ed. 2016
ISBN-13:	978-1-4939-3570-3
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	1-4939-3570-4
Barcode:	9781493935703

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