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Proteomics Data Analysis

  • Book
  • © 2021


  • Includes cutting-edge techniques
  • Provides step-by-step detail essential for reproducible results
  • Contains key implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 2361)

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About this book

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 idealguide 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

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Table of contents (19 protocols)

  1. Data Analysis for Gel-Based Proteomics

  2. Data Analysis for Gel-Free Proteomics

  3. Proteomics Data Interpretation

Editors and Affiliations

  • Department of Biotechnology, University of Verona, VERONA, Italy

    Daniela Cecconi

Bibliographic Information

  • Book Title: Proteomics Data Analysis

  • Editors: Daniela Cecconi

  • Series Title: Methods in Molecular Biology

  • DOI:

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2021

  • Hardcover ISBN: 978-1-0716-1640-6Published: 09 July 2021

  • Softcover ISBN: 978-1-0716-1643-7Published: 09 July 2022

  • eBook ISBN: 978-1-0716-1641-3Published: 08 July 2021

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XIII, 326

  • Number of Illustrations: 8 b/w illustrations, 46 illustrations in colour

  • Topics: Chemistry/Food Science, general, Bioinformatics, Statistics, general

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