Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research

Stefka Tyanova(Max Planck Institute of Biochemistry), Jüergen Cox(Max Planck Institute of Biochemistry)
Methods in molecular biology
January 1, 2018
10.1007/978-1-4939-7493-1_7
Cited by 692Open Access
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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.

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