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Data Mining Techniques for the Life Sciences

Language EnglishEnglish
Book Paperback
Book Data Mining Techniques for the Life Sciences OLIVIERO CARUGO
Libristo code: 19700402
Publishers Humana Press Inc., April 2018
This volume details several important databases and data mining tools. Data Mining Techniques for th... Full description
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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.

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About the book

Full name Data Mining Techniques for the Life Sciences
Author OLIVIERO CARUGO
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 552
EAN 9781493980819
ISBN 9781493980819
Libristo code 19700402
Publishers Humana Press Inc.
Weight 969
Dimensions 178 x 254 x 32

Categories

Mathematics & Science > Biology, life sciences > Life sciences: general issues
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