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 2426)
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Table of contents (17 protocols)
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Front Matter
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Back Matter
About this book
Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.
Editors and Affiliations
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Exploring the Dynamics of Proteomes, Proteomics French Infrastructure, Université Grenoble Alpes, CNRS, CEA, INSERM, Grenoble, France
Thomas Burger
Bibliographic Information
Book Title: Statistical Analysis of Proteomic Data
Book Subtitle: Methods and Tools
Editors: Thomas Burger
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-1967-4
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 2023
Hardcover ISBN: 978-1-0716-1966-7Published: 30 October 2022
Softcover ISBN: 978-1-0716-1969-8Published: 30 October 2023
eBook ISBN: 978-1-0716-1967-4Published: 29 October 2022
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 393
Number of Illustrations: 50 b/w illustrations, 477 illustrations in colour
Topics: Biostatistics, Chemistry/Food Science, general, Bioinformatics