English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research

Tyanova, S., & Cox, J. (2018). Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research. In L. von Stechow (Ed.), Cancer Systems Biology (pp. 133-148). New York, NY: Humana Press. doi:10.1007/978-1-4939-7493-1_7.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0002-FDBB-F Version Permalink: https://hdl.handle.net/21.11116/0000-0002-FDBC-E
Genre: Book Chapter

Files

show Files
hide Files
:
Tyanova-Cox2018_Protocol_PerseusABioinformaticsPlatform.pdf (Publisher version), 778KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0002-FDBD-D
Name:
Tyanova-Cox2018_Protocol_PerseusABioinformaticsPlatform.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
© The Author(s) 2018
License:
http://creativecommons.org/licenses/by/4.0/

Locators

show

Creators

show
hide
 Creators:
Tyanova, Stefka1, Author           
Cox, Jürgen1, Author           
Affiliations:
1Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              

Content

show
hide
Free keywords: Perseus; Software; Omics data analysis; Translational bioinformatics Cancer proteomics
 Abstract: Mass spectrometry-based proteomics is a continuously growing field marked by technological and methodological improvements. Cancer proteomics is aimed at pursuing goals such as accurate diagnosis, patient stratification, and biomarker discovery, relying on the richness of information of quantitative proteome profiles. Translating these high-dimensional data into biological findings of clinical importance necessitates the use of robust and powerful computational tools and methods. In this chapter, we provide a detailed description of standard analysis steps for a clinical proteomics dataset performed in Perseus, a software for functional analysis of large-scale quantitative omics data.

Details

show
hide
Language(s):
 Dates: 2018-012018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000431344900008
DOI: 10.1007/978-1-4939-7493-1_7
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Cancer Systems Biology
  Subtitle : Methods and Protocols
Source Genre: Book
 Creator(s):
von Stechow, Louise, Editor
Affiliations:
-
Publ. Info: New York, NY : Humana Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 133 - 148 Identifier: ISSN: 1064-3745
ISBN: 978-1-4939-7493-1; 978-1-4939-7492-4

Source 2

show
hide
Title: Methods in Molecular Biology
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: Humana Press
Pages: - Volume / Issue: 1711 Sequence Number: - Start / End Page: - Identifier: ISSN: 1064-3745