Bioconductor-mirror/TIN: Transcriptome instability analysis
Version 1.9.0

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.

Getting started

Package details

AuthorBjarne Johannessen, Anita Sveen and Rolf I. Skotheim
Bioconductor views AlternativeSplicing DifferentialSplicing ExonArray GeneExpression Genetics Microarray
MaintainerBjarne Johannessen <bjajoh[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/TIN documentation built on June 1, 2017, 3:17 a.m.