Plotgardener: cultivating precise multi-panel figures in R

Author:

Kramer Nicole E1,Davis Eric S1,Wenger Craig D2,Deoudes Erika M3,Parker Sarah M1,Love Michael I45,Phanstiel Douglas H13678ORCID

Affiliation:

1. Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

2. Independent Scholar , Issaquah, WA 98207, USA

3. Thurston Arthritis Research Center, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

4. Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

5. Department of Genetics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

6. Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

7. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

8. Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, USA

Abstract

Abstract Motivation The R programming language is one of the most widely used programming languages for transforming raw genomic datasets into meaningful biological conclusions through analysis and visualization, which has been largely facilitated by infrastructure and tools developed by the Bioconductor project. However, existing plotting packages rely on relative positioning and sizing of plots, which is often sufficient for exploratory analysis but is poorly suited for the creation of publication-quality multi-panel images inherent to scientific manuscript preparation. Results We present plotgardener, a coordinate-based genomic data visualization package that offers a new paradigm for multi-plot figure generation in R. Plotgardener allows precise, programmatic control over the placement, esthetics and arrangements of plots while maximizing user experience through fast and memory-efficient data access, support for a wide variety of data and file types, and tight integration with the Bioconductor environment. Plotgardener also allows precise placement and sizing of ggplot2 plots, making it an invaluable tool for R users and data scientists from virtually any discipline. Availability and implementation Package: https://bioconductor.org/packages/plotgardener, Code: https://github.com/PhanstielLab/plotgardener, Documentation: https://phanstiellab.github.io/plotgardener/. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Institutes of Health

National Science Foundation GRFP

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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