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BPG: Seamless, automated and interactive visualization of scientific data.

  • Author(s): 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.
Abstract

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.

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