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Book Chapter

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

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Tyanova,  Stefka
Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society;

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Cox,  Jürgen
Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society;

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0002-FDBB-F
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.