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Data Mining Techniques for the Life Sciences (Hardcover)

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This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Editionguides 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 successfulMethods 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 Editionaims to ensure successful results in the further study of this vital field.

Genre: Science
Sub-Genre: Anatomy + Physiology
Series Title: Methods in Molecular Biology
Format: Hardcover
Publisher: Springer Verlag
Language: English
Street Date: April 27, 2016
TCIN: 51380844
UPC: 9781493935703
Item Number (DPCI): 248-19-9606
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