Home
Scholarly Works
BPG: Seamless, automated and interactive...
Journal article

BPG: Seamless, automated and interactive visualization of scientific data

Abstract

BackgroundWe introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment.ResultsThis 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.ConclusionBPG 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

Authors

P’ng C; Green J; Chong LC; Waggott D; Prokopec SD; Shamsi M; Nguyen F; Mak DYF; Lam F; Albuquerque MA

Journal

BMC Bioinformatics, Vol. 20, No. 1,

Publisher

Springer Nature

Publication Date

January 21, 2019

DOI

10.1186/s12859-019-2610-2

ISSN

1471-2105

Contact the Experts team