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SGSeq

Splice event prediction and quantification from RNA-seq data

Bioconductor version: 3.23 · Package version: 1.46.0

SGSeq is a software package for analyzing splice events from RNA-seq data. Input data are RNA-seq reads mapped to a reference genome in BAM format. Genes are represented as a splice graph, which can be obtained from existing annotation or predicted from the mapped sequence reads. Splice events are identified from the graph and are quantified locally using structurally compatible reads at the start or end of each splice variant. The software includes functions for splice event prediction, quantification, visualization and interpretation.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SGSeq")

Details

MaintainerLeonard Goldstein <ldgoldstein@gmail.com>
AuthorLeonard Goldstein [cre, aut]
LicenseArtistic-2.0
Downloads rank875
Source branchRELEASE_3_23
biocViewsAlternativeSplicing, ImmunoOncology, RNASeq, Software, Transcription

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSGSeq_1.46.0.tar.gz
Windows binary (x86_64)SGSeq_1.46.0.zip
macOS binary (arm64)SGSeq_1.46.0.tgz
macOS binary (x86_64)SGSeq_1.46.0.tgz
Dependencies

Depends: R (>= 4.0), IRanges (>= 2.13.15), GenomicRanges (>= 1.31.10), Rsamtools (>= 1.31.2), SummarizedExperiment, methods

Imports: AnnotationDbi, BiocGenerics (>= 0.31.5), Biostrings (>= 2.47.6), GenomicAlignments (>= 1.15.7), GenomicFeatures (>= 1.31.5), GenomeInfoDb, RUnit, S4Vectors (>= 0.23.19), Seqinfo, grDevices, graphics, igraph, parallel, rtracklayer (>= 1.39.7), stats

Suggests: BiocStyle, BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, rmarkdown

Reverse dependencies

Depends On Me (1): EventPointer

Imports Me (1): Rhisat2

Suggests Me (1): FRASER