Utvidet returrett til 31. januar 2025

Proteomics Data Analysis

Om Proteomics Data Analysis

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.

Vis mer
  • Språk:
  • Engelsk
  • ISBN:
  • 9781071616406
  • Bindende:
  • Hardback
  • Sider:
  • 326
  • Utgitt:
  • 9. juli 2021
  • Utgave:
  • 12021
  • Dimensjoner:
  • 260x181x28 mm.
  • Vekt:
  • 816 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: Ukjent
Utvidet returrett til 31. januar 2025

Beskrivelse av Proteomics Data Analysis

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.

Brukervurderinger av Proteomics Data Analysis



Finn lignende bøker
Boken Proteomics Data Analysis finnes i følgende kategorier:

Gjør som tusenvis av andre bokelskere

Abonner på vårt nyhetsbrev og få rabatter og inspirasjon til din neste leseopplevelse.