To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("TransView")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This package provides efficient tools to generate, access and display read densities of sequencing based data sets such as from RNA-Seq and ChIP-Seq.
Author: Julius Muller
Maintainer: Julius Muller <ju-mu at alumni.ethz.ch>
Citation (from within R,
enter citation("TransView")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("TransView")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TransView")
R Script | An introduction to TransView | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, ChIPseq, Clustering, DNAMethylation, DataImport, GeneExpression, HighThroughputSequencing, Methylseq, Microarray, MultipleComparisons, RNAseq, Sequencing, Software, Transcription, Visualization |
Version | 1.6.1 |
In Bioconductor since | BioC 2.11 (R-2.15) |
License | GPL-3 |
Depends | methods, GenomicRanges |
Imports | Rsamtools, zlibbioc, gplots, IRanges |
Suggests | RUnit, pasillaBamSubset |
System Requirements | |
URL | http://bioconductor.org/packages/release/bioc/html/TransView.html |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | TransView_1.6.1.tar.gz |
Windows Binary | TransView_1.6.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | TransView_1.6.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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