chromPlot

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see chromPlot.

Global visualization tool of genomic data


Bioconductor version: 3.19

Package designed to visualize genomic data along the chromosomes, where the vertical chromosomes are sorted by number, with sex chromosomes at the end.

Author: Ricardo A. Verdugo and Karen Y. Orostica

Maintainer: Karen Y. Orostica <korostica09 at gmail.com>

Citation (from within R, enter citation("chromPlot")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("chromPlot")

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("chromPlot")
General Manual PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Annotation, DataRepresentation, FunctionalGenomics, Genetics, Sequencing, Software, Visualization
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 years)
License GPL (>= 2)
Depends stats, utils, graphics, grDevices, datasets, base, biomaRt, GenomicRanges, R (>= 3.1.0)
Imports
System Requirements
URL
See More
Suggests qtl, GenomicFeatures, TxDb.Hsapiens.UCSC.hg19.knownGene
Linking To
Enhances
Depends On Me
Imports Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package chromPlot_1.32.0.tar.gz
Windows Binary (x86_64) chromPlot_1.32.0.zip
macOS Binary (x86_64) chromPlot_1.32.0.tgz
macOS Binary (arm64) chromPlot_1.32.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/chromPlot
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/chromPlot
Bioc Package Browser https://code.bioconductor.org/browse/chromPlot/
Package Short Url https://bioconductor.org/packages/chromPlot/
Package Downloads Report Download Stats