To install this package, start R and enter:

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

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

groHMM

GRO-seq Analysis Pipeline.

Bioconductor version: 3.1

A pipeline for the analysis of GRO-seq data.

Author: Charles G. Danko, Minho Chae, Andre Martins, W. Lee Kraus

Maintainer: Anusha Nagari<anusha.nagari at utsouthwestern.edu>, W. Lee Kraus <lee.kraus at utsouthwestern.edu>

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

To install this package, start R and enter:

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

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

browseVignettes("groHMM")

biocViews	Sequencing, Software
Version	1.3.1
In Bioconductor since	BioC 3.0 (R-3.1) (1 year)
License	GPL-3
Depends	R (>= 3.0.2), MASS, S4Vectors, IRanges, GenomicRanges, GenomicAlignments, rtracklayer, parallel
Imports
LinkingTo
Suggests	BiocStyle, GenomicFeatures, edgeR, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	groHMM_1.3.1.tar.gz
Windows Binary	groHMM_1.3.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	groHMM_1.3.1.tgz
Mac OS X 10.9 (Mavericks)	groHMM_1.3.1.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/groHMM/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/groHMM/
Package Downloads Report	Download Stats

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