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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Vydáno v:	BMC bioinformatics Ročník 20; číslo 1; s. 42 - 5
Hlavní autoři:	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.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 21.01.2019 BioMed Central Ltd BMC
Témata:	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
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Popis
Shrnutí:	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
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1471-2105 1471-2105
DOI:	10.1186/s12859-019-2610-2