FRASER
This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see FRASER.
Find RAre Splicing Events in RNA-Seq Data
Bioconductor version: 3.13
Detection of rare aberrant splicing events in transcriptome profiles. The workflow aims to assist the 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], Vicente Yepez [ctb], Julien Gagneur [aut]
Maintainer: Christian Mertes <mertes at in.tum.de>
citation("FRASER")
):
Installation
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("FRASER")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FRASER")
FRASER: Find RAre Splicing Evens in RNA-seq Data | R Script | |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | AlternativeSplicing, Coverage, Genetics, RNASeq, Sequencing, Software |
Version | 1.4.0 |
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 |
System Requirements | |
URL | https://github.com/gagneurlab/FRASER |
See More
Suggests | BiocStyle, knitr, rmarkdown, testthat, covr, TxDb.Hsapiens.UCSC.hg19.knownGene, org.Hs.eg.db |
Linking To | Rcpp, RcppArmadillo |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | FRASER_1.4.0.tar.gz |
Windows Binary | FRASER_1.4.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | FRASER_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/FRASER |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/FRASER |
Bioc Package Browser | https://code.bioconductor.org/browse/FRASER/ |
Package Short Url | https://bioconductor.org/packages/FRASER/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.13 | Source Archive |