GenVisR
Genomic Visualizations in R
Bioconductor version: Release (3.20)
Produce highly customizable publication quality graphics for genomic data primarily at the cohort level.
Author: Zachary Skidmore [aut, cre], Alex Wagner [aut], Robert Lesurf [aut], Katie Campbell [aut], Jason Kunisaki [aut], Obi Griffith [aut], Malachi Griffith [aut]
Maintainer: Zachary Skidmore <zlskidmore at gmail.com>
Citation (from within R, enter
citation("GenVisR")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GenVisR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GenVisR")| GenVisR: An introduction | HTML | R Script |
| waterfall: function introduction | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Classification, DNASeq, DataRepresentation, Infrastructure, Software |
| Version | 1.38.0 |
| In Bioconductor since | BioC 3.3 (R-3.3) (8.5 years) |
| License | GPL-3 + file LICENSE |
| Depends | R (>= 3.3.0), methods |
| Imports | AnnotationDbi, biomaRt(>= 2.45.8), BiocGenerics, Biostrings, DBI, GenomicFeatures, GenomicRanges(>= 1.25.4), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0), gtable, gtools, IRanges(>= 2.7.5), plyr (>= 1.8.3), reshape2, Rsamtools, scales, viridis, data.table, BSgenome, GenomeInfoDb, VariantAnnotation |
| System Requirements | |
| URL | |
| Bug Reports | https://github.com/griffithlab/GenVisR/issues |
See More
| Suggests | BiocStyle, BSgenome.Hsapiens.UCSC.hg19, knitr, RMySQL, roxygen2, testthat, TxDb.Hsapiens.UCSC.hg19.knownGene, rmarkdown, vdiffr, formatR, TxDb.Hsapiens.UCSC.hg38.knownGene, BSgenome.Hsapiens.UCSC.hg38 |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | GenVisR_1.38.0.tar.gz |
| Windows Binary (x86_64) | GenVisR_1.38.0.zip |
| macOS Binary (x86_64) | GenVisR_1.38.0.tgz |
| macOS Binary (arm64) | GenVisR_1.38.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/GenVisR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GenVisR |
| Bioc Package Browser | https://code.bioconductor.org/browse/GenVisR/ |
| Package Short Url | https://bioconductor.org/packages/GenVisR/ |
| Package Downloads Report | Download Stats |