Data Mining Techniques for the Life Sciences - Couverture rigide

Couverture rigide

ISBN 10 : 1493935704 ISBN 13 : 9781493935703

Editeur : Humana Press Inc., 2016

Synopsis

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.

Détails de l'édition

• Éditeur: Humana Press Inc.
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 1493935704
• ISBN 13: 9781493935703
• Reliure: Relié
• Numéro d'édition: 2
• Nombre de pages: 552
• Éditeur: Carugo Oliviero, Eisenhaber Frank
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible