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Transcriptome instability analysis

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

Introduction to the TIN package PDF R Script
Reference Manual PDF


biocViews AlternativeSplicing, DifferentialSplicing, ExonArray, GeneExpression, Genetics, Microarray, Software
Version 1.36.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License Artistic-2.0
Depends R (>= 2.12.0), data.table, impute, aroma.affymetrix
Imports WGCNA, squash, stringr
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Suggests knitr, aroma.light, affxparser, RUnit, BiocGenerics
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Follow Installation instructions to use this package in your R session.

Source Package TIN_1.36.0.tar.gz
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macOS Binary (x86_64) TIN_1.36.0.tgz
macOS Binary (arm64) TIN_1.36.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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