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BPG: Seamless, automated and interactive visualization of scientific data

by Mak, Denise Y. F. , Yao, Cindy Q. , Boutros, Paul C. , Lalonde, Emilie , Garcia, David R. , Zia, Amin , Chen, Gregory M. , Wang, Jianxin , Liang, Bianca , Lin, Xihui , Nguyen, Francis , Moon, Nathalie C. , Chu, Kenneth C. , Wu, Ying , Lam, Felix , Green, Jeffrey , Sendorek, Dorota , Houlahan, Kathleen E. , Chan-Seng-Yue, Michelle A. , Shamsi, Mehrdad , Harding, Nicholas J. , de Borja, Richard , Jung, Esther H. , Haider, Syed , Simone, Nicole A. , Starmans, Maud H. W. , Waggott, Daryl , Fung, Clement , Murdoch, Amanda R. , Sun, Ren X. , Lu, Aileen , Shiah, Yu-Jia , Kearns, Ryan , Albuquerque, Marco A. , Grzadkowski, Michal R. , Prokopec, Stephenie D. , Chong, Lauren C. , Fox, Natalie S. , P’ng, Christine

in 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

2019

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2019

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2019

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Journal Article

BPG: Seamless, automated and interactive visualization of scientific data

Mak, Denise Y. F.,

Yao, Cindy Q.,

Boutros, Paul C.,

Lalonde, Emilie,

Garcia, David R.,

Zia, Amin,

Chen, Gregory M.,

Wang, Jianxin,

Liang, Bianca,

Lin, Xihui,

Nguyen, Francis,

Moon, Nathalie C.,

Chu, Kenneth C.,

Wu, Ying,

Lam, Felix,

Green, Jeffrey,

Sendorek, Dorota,

Houlahan, Kathleen E.,

Chan-Seng-Yue, Michelle A.,

Shamsi, Mehrdad,

Harding, Nicholas J.,

de Borja, Richard,

Jung, Esther H.,

Haider, Syed,

Simone, Nicole A.,

Starmans, Maud H. W.,

Waggott, Daryl,

Fung, Clement,

Murdoch, Amanda R.,

Sun, Ren X.,

Lu, Aileen,

Shiah, Yu-Jia,

Kearns, Ryan,

Albuquerque, Marco A.,

Grzadkowski, Michal R.,

Prokopec, Stephenie D.,

Chong, Lauren C.,

Fox, Natalie S.,

P’ng, Christine

2019

Overview

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

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Publisher

BioMed Central,BioMed Central Ltd,BMC

Subject

Algorithms

/ Bioinformatics

/ Biomedical and Life Sciences

/ Computational Biology/Bioinformatics

/ Computer Appl. in Life Sciences

/ Data Analysis

/ Data processing