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.