FakIR is an R package for Intron Retention (IR) detection, quantification and exploration using Second and Third Generation Sequencing data.
A pdf version of the tutorial is available here: Tutorial.
Please note that FakIR requires rlang version >= 0.4.5.
Also, FakIR makes use of functionalities from several packages from Bioconductor you might need to install first. This can be done by copy-pasting the following code in a R session:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install()
BiocManager::install(c("IsoformSwitchAnalyzeR", "DEXSeq", "BSgenome.Hsapiens.UCSC.hg38"))
Also, so as to install FakIR directly in a R session from GitHub, you will need to have devtools installed:
install.packages("devtools")
Then, install FakIR using:
devtools::install_github("lbroseus/FakIR", build_vignettes = T)
Alternatively, source files can be downloaded from the following link, and installed manually:
git clone https://github.com/lbroseus/FakIR.git
Typical workflows for detecting and analysing intron retention using RNA-seq data are detailed in the vignette and can be accessed in a R session using:
require(FakIR)
vignette("IR-events-detection-and-interpretation")
Especially, it illustrates how to perform the following tasks:
- IR events detection from short read RNA-seq data
- Differential analysis from short read RNA-seq data (using DEXSeq)
- IR events detection from long read RNA-seq data
- IR-transcripts reconstruction from long read RNA-seq data
- Prediction of IR-NMD-targets
- Broseus and Ritchie Challenges in detecting and quantifying intron retention from NGS data. CSBJ. (2020)
- Grabski, DF, Broseus, L, Kumari, B, Rekosh, D, Hammarskjold, MโL, Ritchie, W. Intron retention and its impact on gene expression and protein diversity: A review and a practical guide. WIREs RNA. 2021; 12:e1631. https://doi.org/10.1002/wrna.1631