satuRn
Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications
Bioconductor version: 3.23 · Package version: 1.20.0
satuRn provides a higly performant and scalable framework for performing differential transcript usage analyses. The package consists of three main functions. The first function, fitDTU, fits quasi-binomial generalized linear models that model transcript usage in different groups of interest. The second function, testDTU, tests for differential usage of transcripts between groups of interest. Finally, plotDTU visualizes the usage profiles of transcripts in groups of interest.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("satuRn") Details
| Maintainer | Jeroen Gilis <jeroen.gilis@ugent.be> |
| Author | Jeroen Gilis [aut, cre], Kristoffer Vitting-Seerup [ctb], Koen Van den Berge [ctb], Lieven Clement [ctb] |
| License | Artistic-2.0 |
| URL | https://github.com/statOmics/satuRn |
| Bug Reports | https://github.com/statOmics/satuRn/issues |
| Downloads rank | 594 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, ExperimentalDesign, GeneExpression, MultipleComparison, RNASeq, Regression, Sequencing, SingleCell, Software, Transcriptomics, Visualization |
Documentation
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Dependencies
Depends: R (>= 4.1)
Imports: locfdr, SummarizedExperiment, BiocParallel, limma, pbapply, ggplot2, boot, Matrix, stats, methods, graphics
Suggests: knitr, rmarkdown, testthat, covr, BiocStyle, AnnotationHub, ensembldb, edgeR, DEXSeq, stageR, DelayedArray
Reverse dependencies
Depends On Me (1): IsoformSwitchAnalyzeR