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Visualization of proteomics data using R and bioconductor.


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Type

Article

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Authors

Breckels, Lisa M 
Naake, Thomas 
Gibb, Sebastian 

Abstract

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.

Description

Keywords

Bioconductor, Bioinformatics, Data analysis, Programming, R, Visualization, Animals, Computer Graphics, Humans, Mass Spectrometry, Molecular Sequence Annotation, Proteomics, Software

Journal Title

Proteomics

Conference Name

Journal ISSN

1615-9853
1615-9861

Volume Title

15

Publisher

Wiley
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/K00137X/1)
Biotechnology and Biological Sciences Research Council (BB/L018497/1)
European Commission (262067)
Biotechnology and Biological Sciences Research Council (BB/L002817/1)
LG was supported by the European Union 7th Framework Program (PRIME-XS project, grant agreement number 262067) and a BBSRC Strategic Longer and Larger grant (Award BB/L002817/1). LMB was supported by a BBSRC Tools and Resources Development Fund (Award BB/K00137X/1). TN was supported by a ERASMUS Placement scholarship.