Visualization of proteomics data using R and bioconductor

Proteomics. 2015 Apr;15(8):1375-89. doi: 10.1002/pmic.201400392.


Data visualization plays a key role in high-throughput biology. It is an essential tool for data exploration allowing to shed light on data structure and patterns of interest. Visualization is also of paramount importance as a form of communicating data to a broad audience. Here, we provided a short overview of the application of the R software to the visualization of proteomics data. We present a summary of R's plotting systems and how they are used to visualize and understand raw and processed MS-based proteomics data.

Keywords: Bioconductor; Bioinformatics; Data analysis; Programming; R; Visualization.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Computer Graphics
  • Humans
  • Mass Spectrometry
  • Molecular Sequence Annotation
  • Proteomics / methods*
  • Software*