GenVisR

GenVisR visualizes cohort-level genomic data and generates customizable, publication-quality plots to summarize and communicate genomic study results.


Key Features:

  • Customizable Graphics: Produces customizable, publication-quality graphics for cohort-level genome analyses.
  • ggplot2 Integration: Builds on the ggplot2 plotting framework to provide a layered grammar of graphics and compatibility with ggplot2 objects.
  • Bioconductor Integration: Interoperates with Bioconductor to work with Bioconductor data structures and access genomic data processing tools.
  • Cohort-level Summarization: Summarizes and visualizes cohort-level genomic study data to reveal study-wide patterns.

Scientific Applications:

  • Cohort-level Genome Analysis: Visualizing and summarizing cohort-scale genomic datasets to support comparative and aggregate analyses.
  • Interpretation and Communication: Generating figures that facilitate interpretation and communication of genomic study results.
  • Exploratory Analysis and Publication Figures: Producing plots for exploratory data analysis and for inclusion in publications.

Methodology:

Implements plotting via the ggplot2 package and integrates with Bioconductor-compatible genomic data structures and processing tools.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/13/2019

Operations

Publications

Skidmore ZL, Wagner AH, Lesurf R, Campbell KM, Kunisaki J, Griffith OL, Griffith M. GenVisR: Genomic Visualizations in R. Bioinformatics. 2016;32(19):3012-3014. doi:10.1093/bioinformatics/btw325. PMID:27288499. PMCID:PMC5039916.

Documentation

Downloads