To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CNEr")

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

CNEr

CNE detection and visualization.

Bioconductor version: 2.14

Large-scale identification and advanced visualization of sets of conserved noncoding elements.

Author: Ge Tan <ge.tan09 at imperial.ac.uk>

Maintainer: Ge Tan <ge.tan09 at imperial.ac.uk>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CNEr")

Documentation

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

browseVignettes("CNEr")

 

PDF R Script CNEr
PDF   Reference Manual
Text   LICENSE

Details

biocViews DataImport, GeneRegulation, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 2.14 (R-3.1)
License GPL-2 | file LICENSE
Depends R (>= 3.0.2)
Imports Biostrings(>= 2.26.3), RSQLite (>= 0.11.4), GenomicRanges(>= 1.12.5), rtracklayer(>= 1.20.4), XVector(>= 0.2.0), DBI (>= 0.2-7), GenomicAlignments(>= 0.99.17), methods, IRanges(>= 1.19.38)
Suggests Gviz(>= 1.7.4), RUnit, BiocGenerics
System Requirements
URL http://ancora.genereg.net/
Depends On Me
Imports Me TFBSTools
Suggests Me

Package Archives

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

Package Source CNEr_1.0.0.tar.gz
Windows Binary CNEr_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CNEr_1.0.0.tgz
Mac OS X 10.9 (Mavericks) CNEr_1.0.0.tgz
Browse/checkout source (username/password: readonly)
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