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

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

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.

全文連結

Authors and affiliations

Stefka Tyanova

Computational Systems Biochemistry Group, Max-Planck Institute of Biochemistry Martinsried Germany

Juergen Cox *

Computational Systems Biochemistry Group, Max-Planck Institute of Biochemistry Martinsried Germany

Citation

Tyanova S., Cox J. (2018) Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research. In: von Stechow L. (eds) Cancer Systems Biology. Methods in Molecular Biology, vol 1711. Humana Press, New York, NY

發表迴響

你的電子郵件位址並不會被公開。 必要欄位標記為 *