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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.
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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