<p>This volume details several important databases and data mining tools. <i>Data Mining Techniques for the Life Sciences, Second Edition </i>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 <i>Methods in Molecular Biology </i>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.</p>

<p>Authoritative and cutting-edge,<i> Data Mining Techniques for the Life Sciences, Second Edition</i><i> </i>aims to ensure successful results in the further study of this vital field.</p><p><br></p>