Items related to Proteomics Data Analysis: 2361 (Methods in Molecular...

Proteomics Data Analysis: 2361 (Methods in Molecular Biology, 2361) - Softcover

 
9781071616437: Proteomics Data Analysis: 2361 (Methods in Molecular Biology, 2361)
Softcover
ISBN 10: 1071616439 ISBN 13: 9781071616437
Publisher: Humana, 2022

Synopsis

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 link.springer.com.

"synopsis" may belong to another edition of this title.

From the Back Cover

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 link.springer.com.

"About this title" may belong to another edition of this title.

Publisher
Humana
Publication date
2022
Language
English
ISBN 10 
1071616439
ISBN 13 
9781071616437
Binding
Paperback
Edition number
1
Number of pages
339
Editor
Cecconi Daniela