To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TIN")

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

TIN

   

Transcriptome instability analysis

Bioconductor version: 3.2

The TIN package implements a set of tools for transcriptome instability analysis based on exon expression profiles. Deviating exon usage is studied in the context of splicing factors to analyse to what degree transcriptome instability is correlated to splicing factor expression. In the transcriptome instability correlation analysis, the data is compared to both random permutations of alternative splicing scores and expression of random gene sets.

Author: Bjarne Johannessen, Anita Sveen and Rolf I. Skotheim

Maintainer: Bjarne Johannessen <bjajoh at rr-research.no>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TIN")

Documentation

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

browseVignettes("TIN")

 

PDF Introduction to the TIN package
PDF   Reference Manual
Text   NEWS

Details

biocViews AlternativeSplicing, DifferentialSplicing, ExonArray, GeneExpression, Genetics, Microarray, Software
Version 1.2.0
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License Artistic-2.0
Depends R (>= 2.12.0), data.table, impute, aroma.affymetrix
Imports WGCNA, squash, stringr
LinkingTo
Suggests knitr, aroma.light, affxparser, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source TIN_1.2.0.tar.gz
Windows Binary TIN_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) TIN_1.2.0.tgz
Mac OS X 10.9 (Mavericks) TIN_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/TIN/tree/release-3.2
Package Short Url http://bioconductor.org/packages/TIN/
Package Downloads Report Download Stats

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