Sciences et Avenir - Juin 2016

Sciences et Avenir – Juin 2016
French | True PDF | 116 pages | 22.23 MB

Data Mining Techniques for the Life Sciences

Data Mining Techniques for the Life Sciences, Second Edition
Humana Press | Molecular Biology | May 28, 2016 | ISBN-10: 1493935704 | 552 pages | pdf | 18.25 mb

Editors: Carugo, Oliviero, Eisenhaber, Frank (Eds.)

Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts

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.

Number of Illustrations and Tables

13 b/w illustrations, 84 illustrations in colour

Topics

Bioinformatics

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Sciences et Avenir Hors Série No.176 - Octobre-Novembre 2013 (Repost)

Sciences et Avenir Hors Série No.176 – Octobre-Novembre 2013
French | True PDF | 84 pages | 11.63 Mb

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