Background: We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. Results: This open-source package includes multiple methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, making it suitable for complex datasets. A web-based interactive tool allows online figure customization, from which R code can be downloaded for integration with computational pipelines. Conclusion: BPG provides a new approach for linking interactive and scripted data visualization and is available at http://labs.oicr.on.ca/boutros-lab/software/bpg or via CRAN at https://cran.r-project.org/web/packages/BoutrosLab.plotting.general.
CITATION STYLE
P’ng, C., Green, J., Chong, L. C., Waggott, D., Prokopec, S. D., Shamsi, M., … Boutros, P. C. (2019). BPG: Seamless, automated and interactive visualization of scientific data. BMC Bioinformatics, 20(1). https://doi.org/10.1186/s12859-019-2610-2
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