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FakIR: a First-aid kit for investigating Intron Retention events

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.

Package installation

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
   

Detecting Intron Retention events using RNA-seq data

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:

  1. IR events detection from short read RNA-seq data
  2. Differential analysis from short read RNA-seq data (using DEXSeq)
  3. IR events detection from long read RNA-seq data
  4. IR-transcripts reconstruction from long read RNA-seq data
  5. Prediction of IR-NMD-targets

References

  1. Broseus and Ritchie Challenges in detecting and quantifying intron retention from NGS data. CSBJ. (2020)
  2. Grabski, DF, Broseus, L, Kumari, B, Rekosh, D, Hammarskjold, Mโ€L, 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

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