Visualization of proteomics data using R and bioconductor.
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Authors
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
1615-9861
Volume Title
15
Publisher
Wiley
Publisher DOI
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)
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.