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BMC Bioinformatics. 2019 Jan 21;20(1):42. doi: 10.1186/s12859-019-2610-2.

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

Author information

1
Ontario Institute for Cancer Research, Toronto, Canada.
2
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
3
Present address: Center for Computational Research, Buffalo Institute for Genomics and Data Analytics, NYS Center for Excellence in Bioinformatics & Life Science, University at Buffalo, Buffalo, USA.
4
Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada.
5
Ontario Institute for Cancer Research, Toronto, Canada. pboutros@mednet.ucla.edu.
6
Department of Medical Biophysics, University of Toronto, Toronto, Canada. pboutros@mednet.ucla.edu.
7
Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada. pboutros@mednet.ucla.edu.
8
Department of Human Genetics, University of California, Los Angeles, USA. pboutros@mednet.ucla.edu.
9
Department of Urology, University of California, Los Angeles, USA. pboutros@mednet.ucla.edu.
10
Institute for Precision Health, University of California, Los Angeles, USA. pboutros@mednet.ucla.edu.
11
Jonsson Comprehensive Cancer Center, University of California, Los Angeles, USA. pboutros@mednet.ucla.edu.

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.

KEYWORDS:

Data-visualization; Interactive plotting; Software; Web-resources

PMID:
30665349
PMCID:
PMC6341661
DOI:
10.1186/s12859-019-2610-2
[Indexed for MEDLINE]
Free PMC Article

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