Proteomics Data Analysis - Couverture rigide

Couverture rigide

ISBN 10 : 1071616404 ISBN 13 : 9781071616406

Editeur : Springer-Verlag New York Inc., 2021

Synopsis

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab.
Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.
Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1071616404
• ISBN 13: 9781071616406
• Reliure: Relié
• Nombre de pages: 326
• Éditeur: Cecconi Daniela
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne