BPG: Seamless, Automated and Interactive Visualization of Scientific Data

Christine P’ng; Jeffrey J. Green; Lauren C. Chong; Daryl M. Waggott; Stephenie D. Prokopec; Mehrdad Shamsi; Francis 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; Kenneth C. Chu; Nathalie C. Moon; Natalie S. Fox; Michal R. Grzadkowski; Nicholas J. Harding; Clement Fung; Amanda Murdoch; Kathleen E. Houlahan; Jianxin Wang; David R. Garcia

doi:10.1186/s12859-019-2610-2

BioinformaticsBMC BioinformaticsJan 21, 2019

Peer-reviewed journal article

BPG: Seamless, Automated and Interactive Visualization of Scientific Data

Christine P’ng, Jeffrey J. Green iD, Lauren C. Chong iD, Daryl M. Waggott iD, Stephenie D. Prokopec iD, Mehrdad Shamsi, Francis Nguyen iD, Denise Y. F. Mak, Felix Lam, Marco Albuquerque iD, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle Chan‐Seng‐Yue iD, Cindy Q. Yao, Bianca Liang, Emilie Lalonde iD, Syed Aleem Haider iD, Nicole A. Simone, Dorota H.S. Sendorek iD, Kenneth C. Chu, Nathalie C. Moon iD, Natalie S. Fox iD, Michal R. Grzadkowski iD, Nicholas J. Harding iD, , Paul Christopher Boutros iD

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

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