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
|
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see TIN.
Transcriptome instability analysis
Bioconductor version: 3.4
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")
| R Script | Introduction to the TIN package | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | AlternativeSplicing, DifferentialSplicing, ExonArray, GeneExpression, Genetics, Microarray, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (2 years) |
| 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_1.6.0.tar.gz |
| Windows Binary | TIN_1.6.0.zip |
| Mac OS X 10.9 (Mavericks) | TIN_1.6.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/TIN/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/TIN/ |
| Package Downloads Report | Download Stats |
Documentation »
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