TIN
Transcriptome instability analysis
Bioconductor version: 3.24 · Package version: 1.45.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TIN") Details
| Maintainer | Bjarne Johannessen <bjajoh@rr-research.no> |
| Author | Bjarne Johannessen, Anita Sveen and Rolf I. Skotheim |
| License | Artistic-2.0 |
| Downloads rank | 548 |
| Source branch | devel |
| biocViews | AlternativeSplicing, DifferentialSplicing, ExonArray, GeneExpression, Genetics, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TIN_1.45.0.tar.gz |
| Windows binary (x86_64) | TIN_1.45.0.zip |
| macOS binary (arm64) | TIN_1.45.0.tgz |
| macOS binary (x86_64) | TIN_1.45.0.tgz |
Dependencies
Depends: R (>= 2.12.0), data.table, impute, aroma.affymetrix
Imports: WGCNA, squash, stringr
Suggests: knitr, aroma.light, affxparser, RUnit, BiocGenerics