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BPG: Seamless, automated and interactive visualization of scientific data
- P’ng, Christine;
- Green, Jeffrey;
- Chong, Lauren C;
- Waggott, Daryl;
- Prokopec, Stephenie D;
- Shamsi, Mehrdad;
- Nguyen, Francis;
- Mak, Denise YF;
- Lam, Felix;
- Albuquerque, Marco A;
- Wu, Ying;
- Jung, Esther H;
- Starmans, Maud HW;
- Chan-Seng-Yue, Michelle A;
- Yao, Cindy Q;
- Liang, Bianca;
- Lalonde, Emilie;
- Haider, Syed;
- Simone, Nicole A;
- Sendorek, Dorota;
- Chu, Kenneth C;
- Moon, Nathalie C;
- Fox, Natalie S;
- Grzadkowski, Michal R;
- Harding, Nicholas J;
- Fung, Clement;
- Murdoch, Amanda R;
- Houlahan, Kathleen E;
- Wang, Jianxin;
- Garcia, David R;
- de Borja, Richard;
- Sun, Ren X;
- Lin, Xihui;
- Chen, Gregory M;
- Lu, Aileen;
- Shiah, Yu-Jia;
- Zia, Amin;
- Kearns, Ryan;
- Boutros, Paul C
- et al.
Published Web Location
https://doi.org/10.1186/s12859-019-2610-2Abstract
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.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.