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
| Maintainer | Leonard Goldstein <ldgoldstein@gmail.com> |
| Author | Leonard Goldstein [cre, aut] |
| License | Artistic-2.0 |
| Downloads rank | 875 |
| Source branch | RELEASE_3_23 |
| biocViews | AlternativeSplicing, ImmunoOncology, RNASeq, Software, Transcription |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SGSeq_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