This website hosts code for the paper "Dividing out quantification uncertainty enables assessment of differential transcript usage with limma and edgeR" by Baldoni et al. (2025), which presents optimized differential transcript usage pipelines using the latest versions of the R/Bioconductor packages edgeR and limma.
The bioRxiv preprint version of the paper can be accessed from: https://doi.org/10.1101/2025.04.07.647659
The analysis website can be found at the following link: https://plbaldoni.github.io/DTU-code
This GitHub repository was generated with the R package workflowr.