Package: TIN
Type: Package
Title: Transcriptome instability analysis
Version: 1.18.0
Date: 2014-07-14
Author: Bjarne Johannessen, Anita Sveen and Rolf I. Skotheim
Maintainer: Bjarne Johannessen <bjajoh@rr-research.no>
VignetteBuilder: knitr
Depends: R (>= 2.12.0), data.table, impute, aroma.affymetrix
Imports: WGCNA, squash, stringr
Suggests: knitr, aroma.light, affxparser, RUnit, BiocGenerics
biocViews: ExonArray, Microarray, GeneExpression, AlternativeSplicing,
        Genetics, DifferentialSplicing
Description: 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.
License: Artistic-2.0
git_url: https://git.bioconductor.org/packages/TIN
git_branch: RELEASE_3_10
git_last_commit: 89d0cf6
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 01:22:56 UTC; biocbuild
Built: R 3.6.1; ; 2019-11-01 18:01:11 UTC; unix
