To install this package, start R and enter:

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

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

TSSi

Transcription Start Site Identification

Bioconductor version: Release (3.1)

Identify and normalize transcription start sites in high-throughput sequencing data.

Author: Julian Gehring, Clemens Kreutz

Maintainer: Julian Gehring <julian.gehring at embl.de>

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

To install this package, start R and enter:

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

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

browseVignettes("TSSi")

PDF	R Script	Introduction to the TSSi package: Identification of Transcription Start Sites
PDF		Reference Manual

biocViews	Genetics, Preprocessing, RNASeq, Sequencing, Software
Version	1.14.0
In Bioconductor since	BioC 2.9 (R-2.14) (4 years)
License	GPL-3
Depends	R (>= 2.13.2)
Imports	methods, BiocGenerics(>= 0.3.2), S4Vectors, Hmisc, minqa, stats, Biobase(>= 0.3.2), plyr, IRanges
LinkingTo
Suggests	rtracklayer
SystemRequirements
Enhances	parallel
URL	http://julian-gehring.github.com/TSSi/
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	TSSi_1.14.0.tar.gz
Windows Binary	TSSi_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	TSSi_1.14.0.tgz
Mac OS X 10.9 (Mavericks)	TSSi_1.14.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/TSSi/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/TSSi/
Package Downloads Report	Download Stats

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