(Methods in Molecular Biology) 2nd ed. 2016 Edition
by Oliviero Carugo (Editor), Frank Eisenhaber (Editor)
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.
