BPG: Seamless, automated and interactive visualization of scientific data

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, makin...

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Bibliographic Details
Published in:	BMC bioinformatics Vol. 20; no. 1; pp. 42 - 5
Main Authors:	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., de Borja, Richard, Sun, Ren X., Lin, Xihui, Chen, Gregory M., Lu, Aileen, Shiah, Yu-Jia, Zia, Amin, Kearns, Ryan, Boutros, Paul C.
Format:	Journal Article
Language:	English
Published:	London BioMed Central 21.01.2019 BioMed Central Ltd BMC
Subjects:	Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data Analysis Data processing Data-visualization Humans image analysis and data visualization Imaging Information visualization Interactive plotting Life Sciences Methods Microarrays R (Programming language) Simulation Training - methods Software Statistical software Visualization (Computer) Web-resources Canada Interactive plotting Software Web-resources Data-visualization
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
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