GenVisR: Genomic Visualizations in R

Zachary L Skidmore; Alex H Wagner; Robert Lesurf; Katie M Campbell; Jason Kunisaki; Obi L Griffith; Malachi Griffith

doi:10.1093/bioinformatics/btw325

GenVisR: Genomic Visualizations in R

Bioinformatics. 2016 Oct 1;32(19):3012-4. doi: 10.1093/bioinformatics/btw325. Epub 2016 Jun 10.

Authors

Zachary L Skidmore¹, Alex H Wagner¹, Robert Lesurf¹, Katie M Campbell¹, Jason Kunisaki¹, Obi L Griffith², Malachi Griffith³

Affiliations

¹ McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
² McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Department of Medicine Siteman Cancer Center Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
³ McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.

Abstract

Visualizing and summarizing data from genomic studies continues to be a challenge. Here, we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-use suite of genomic visualization tools, while maintaining a high degree of flexibility by leveraging the abilities of ggplot2 and Bioconductor.

Availability and implementation: GenVisR is an R package available via Bioconductor (https://bioconductor.org/packages/GenVisR) under GPLv3. Support is available via GitHub (https://github.com/griffithlab/GenVisR/issues) and the Bioconductor support website.

Contacts: obigriffith@wustl.edu or mgriffit@wustl.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

Genome
Genomics*
Software*

Abstract

MeSH terms

Grants and funding