Proteomics Data Analysis

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  • Proteomics Data Analysis Book Detail

  • Author : Daniela Cecconi
  • Release Date : 2021
  • Publisher :
  • Genre : Proteomics
  • Pages : 326
  • ISBN 13 : 9781071616413
  • File Size : 56,56 MB

Proteomics Data Analysis by Daniela Cecconi PDF Summary

Book Description: 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.

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Proteomics Data Analysis

Proteomics Data Analysis

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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

Introducing Proteomics

Introducing Proteomics

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Introducing Proteomics gives a concise and coherent overview of every aspect of current proteomics technology, which is a rapidly developing field that is havin