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Proteomics Data Analysis

Language EnglishEnglish
Book Paperback
Book Proteomics Data Analysis Daniela Cecconi
Libristo code: 39319366
Publishers Springer-Verlag New York Inc., July 2022
This thorough book collects methods and strategies to analyze proteomics data. It is intended to des... Full description
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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.

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About the book

Full name Proteomics Data Analysis
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 326
EAN 9781071616437
Libristo code 39319366
Weight 655
Dimensions 178 x 254 x 19
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