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


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.

SUBMITTER: P'ng C 

PROVIDER: S-EPMC6341661 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Publications

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

P'ng Christine C   Green Jeffrey J   Chong Lauren C LC   Waggott Daryl D   Prokopec Stephenie D SD   Shamsi Mehrdad M   Nguyen Francis F   Mak Denise Y F DYF   Lam Felix F   Albuquerque Marco A MA   Wu Ying Y   Jung Esther H EH   Starmans Maud H W MHW   Chan-Seng-Yue Michelle A MA   Yao Cindy Q CQ   Liang Bianca B   Lalonde Emilie E   Haider Syed S   Simone Nicole A NA   Sendorek Dorota D   Chu Kenneth C KC   Moon Nathalie C NC   Fox Natalie S NS   Grzadkowski Michal R MR   Harding Nicholas J NJ   Fung Clement C   Murdoch Amanda R AR   Houlahan Kathleen E KE   Wang Jianxin J   Garcia David R DR   de Borja Richard R   Sun Ren X RX   Lin Xihui X   Chen Gregory M GM   Lu Aileen A   Shiah Yu-Jia YJ   Zia Amin A   Kearns Ryan R   Boutros Paul C PC  

BMC bioinformatics 20190121 1


<h4>Background</h4>We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment.<h4>Results</h4>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.<h4  ...[more]

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