Editors:
- 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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Table of contents (19 protocols)
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Front Matter
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Data Analysis for Gel-Based Proteomics
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Front Matter
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Data Analysis for Gel-Free Proteomics
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Front Matter
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Proteomics Data Interpretation
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Front Matter
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About this book
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 link.springer.com.
Editors and Affiliations
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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: https://doi.org/10.1007/978-1-0716-1641-3
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