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Bioconductor - GenVisR (development version)

GenVisR

This is the development version of GenVisR; for the stable release version, see GenVisR.

Genomic Visualizations in R

Bioconductor version: Development (3.22)

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 "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews Classification, DNASeq, DataRepresentation, Infrastructure, Software Version 1.41.1 In Bioconductor since BioC 3.3 (R-3.3) (9 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.

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