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Find RAre Splicing Events in RNA-Seq Data

Bioconductor version: Release (3.19)

Detection of rare aberrant splicing events in transcriptome profiles. Read count ratio expectations are modeled by an autoencoder to control for confounding factors in the data. Given these expectations, the ratios are assumed to follow a beta-binomial distribution with a junction specific dispersion. Outlier events are then identified as read-count ratios that deviate significantly from this distribution. FRASER is able to detect alternative splicing, but also intron retention. The package aims to support diagnostics in the field of rare diseases where RNA-seq is performed to identify aberrant splicing defects.

Author: Christian Mertes [aut, cre] , Ines Scheller [aut] , Karoline Lutz [ctb], Vicente Yepez [aut] , Julien Gagneur [aut]

Maintainer: Christian Mertes <mertes at>

Citation (from within R, enter citation("FRASER")):


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FRASER: Find RAre Splicing Events in RNA-seq Data PDF R Script
Reference Manual PDF


biocViews AlternativeSplicing, Coverage, Genetics, RNASeq, Sequencing, Software
Version 2.0.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License MIT + file LICENSE
Depends BiocParallel, data.table, Rsamtools, SummarizedExperiment
Imports AnnotationDbi, BBmisc, Biobase, BiocGenerics, biomaRt, BSgenome, cowplot, DelayedArray(>= 0.5.11), DelayedMatrixStats, extraDistr, generics, GenomeInfoDb, GenomicAlignments, GenomicFeatures, GenomicRanges, IRanges, grDevices, ggplot2, ggrepel, HDF5Array, matrixStats, methods, OUTRIDER, pcaMethods, pheatmap, plotly, PRROC, RColorBrewer, rhdf5, Rsubread, R.utils, S4Vectors, stats, tibble, tools, utils, VGAM
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Source Package FRASER_2.0.0.tar.gz
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macOS Binary (arm64) FRASER_2.0.0.tgz
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