To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("gtrellis")

In most cases, you don't need to download the package archive at all.

gtrellis

 

Genome Level Trellis Layout

Bioconductor version: Release (3.1)

Genome level Trellis graph visualizes genomic data conditioned by genomic categories (e.g. chromosomes). For each genomic category, multiple dimensional data which are represented as tracks describe different features from different aspects. This package provides high flexibility to arrange genomic categories and add self-defined graphics in the plot.

Author: Zuguang Gu

Maintainer: Zuguang Gu <z.gu at dkfz.de>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("gtrellis")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gtrellis")

 

HTML R Script Make Genome Level Trellis Graph
PDF   Reference Manual
Text   NEWS

Details

biocViews Sequencing, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 3.1 (R-3.2) (< 6 months)
License GPL (>= 2)
Depends R (>= 3.1.0), grid
Imports circlize (>= 0.2.3), GetoptLong
LinkingTo
Suggests testthat (>= 0.3), knitr, GenomicRanges, RColorBrewer, markdown
SystemRequirements
Enhances
URL https://github.com/jokergoo/gtrellis
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source gtrellis_1.0.0.tar.gz
Windows Binary gtrellis_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) gtrellis_1.0.0.tgz
Mac OS X 10.9 (Mavericks) gtrellis_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/gtrellis/tree/release-3.1
Package Short Url http://bioconductor.org/packages/gtrellis/
Package Downloads Report Download Stats

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