FRASER is a tool to detect aberrant splicing events in RNA-seq data. The method is described and published in Nature Communications and available through Bioconductor. It is also part of the Detection of RNA Outlier Pipeline (DROP). The DROP pipeline is described and published in Nature Protocols.
The FRASER framework and workflow aims to assist the diagnostics in the field of rare diseases where RNA-seq is performed to identify aberrant splicing defects. For a short tutorial on how to use FRASER on a dataset please use the vignette or our Colab tutorial at: http://tinyurl.com/RNA-ASHG-colab. The Colab is based on a workshop that we presented at ASHG 2019/2020.
Please cite our method paper if you use it in a publication:
Mertes, C., Scheller, I.F., Yépez, V.A. et al. Detection of aberrant splicing events in RNA-seq data using FRASER. Nat Commun 12, 529 (2021). https://doi.org/10.1038/s41467-020-20573-7
FRASER is an R/Bioconductor software package requiring a running
R 3.6 version or higher.
The recommanded way of installing
FRASER is to use
if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages('BiocManager') BiocManager::install('FRASER')
If you use an R version below
4.0.0 you have to install it from source.
To this end, we will use
devtools to install it. For this, you need a
working development environment to compile the C++ code (see for
or MacOS X).
if (!requireNamespace("devtools", quietly=TRUE)) install.packages('devtools') # latest development version devtools::install_github('gagneurlab/FRASER', dependencies=TRUE) # or a specific version of FRASER (search for tags on github) devtools::install_github('gagneurlab/FRASER', ref='1.1.3', dependencies=TRUE)
If you have dependency issues while installing any package, please have a look at the Troubleshooting section or submit an issue on GitHub.
When using FRASER with R3.6 one might observe the following error:
fds <- annotateRanges(fds) # Error in UseMethod("filter_") : # no applicable method for 'filter_' applied to an object of class "c('tbl_SQLiteConnection', 'tbl_dbi', 'tbl_sql', 'tbl_lazy', 'tbl')"
To overcome this error one needs to upgrade BiocFileCache.
BiocManager::install("Bioconductor/BiocFileCache", ask=FALSE, update=FALSE)
On some Linux distributions we need the developer libraries for compiling the R packages.
To install those packages, please run as administrator:
For Ubuntu or debian based systems:
sudo apt-get install build-essential libcurl4-gnutls-dev libxml2-dev libssl-dev zlib1g-dev libmysqld-dev
For centOS or RHEL based systems:
sudo yum install R-devel zlib-devel openssl-devel libcurl-devel libxml2-devel mariadb-devel
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