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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