Visualisation of proteomics data using R and Bioconductor
Breckels, Lisa M
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Gatto, L., Breckels, L. M., Naake, T., & Gibb, S. (2015). Visualisation of proteomics data using R and Bioconductor. Proteomics, 15 1375-1389. https://doi.org/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.
Bioconductor, Bioinformatics, Data analysis, Programming, R, Visualization
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.
External DOI: https://doi.org/10.1002/pmic.201400392
This record's URL: https://www.repository.cam.ac.uk/handle/1810/247645
Creative Commons Attribution License 2.0 UK
Licence URL: http://creativecommons.org/licenses/by/2.0/uk/