Author:
P’ng Christine,Green Jeffrey,Chong Lauren C.,Waggott Daryl,Prokopec Stephenie D.,Shamsi Mehrdad,Nguyen Francis,Mak Denise Y.F.,Lam Felix,Albuquerque Marco A.,Wu Ying,Jung Esther H.,Starmans Maud H.W.,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.,Borja Richard de,Sun Ren X.,Lin Xihui,Chen Gregory M.,Lu Aileen,Shiah Yu-Jia,Zia Amin,Kearns Ryan,Boutros Paul C.
Abstract
AbstractWe 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
Publisher
Cold Spring Harbor Laboratory
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