BPG: Seamless, Automated and Interactive Visualization of Scientific Data
Christine P’ng, Jeffrey D Green, Lauren C. Chong, Daryl M. Waggott, Stephenie D. Prokopec, Mehrdad Shamsi, Francis Ngoc Hoang Long Nguyen, Denise Y. F. Mak, Felix Lam, Marco Albuquerque, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle Chan Seng Yue, Cindy Q. Yao, Bianca Liang, Emilie Lalonde, Syed Aleem Haider, Nicole A. Simone, Dorota H.S. Sendorek · bioRxiv (Cold Spring Harbor Laboratory) · 2017
Abstract We introduce BPG, an easy-to-use framework for generating publication-quality, highly-customizable plots in the R statistical environment. This open-source package includes novel methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, making it ideal for complex datasets. A web-based interactive tool allows online figure customization, from which R code can be downloaded for seamless integration with computational pipelines. BPG is available at http://labs.oicr.on.ca/boutros-lab/software/bpg