StructuralVariantAnnotation

DOI: 10.18129/B9.bioc.StructuralVariantAnnotation    

This is the development version of StructuralVariantAnnotation; for the stable release version, see StructuralVariantAnnotation.

Variant annotations for structural variants

Bioconductor version: Development (3.17)

StructuralVariantAnnotation provides a framework for analysis of structural variants within the Bioconductor ecosystem. This package contains contains useful helper functions for dealing with structural variants in VCF format. The packages contains functions for parsing VCFs from a number of popular callers as well as functions for dealing with breakpoints involving two separate genomic loci encoded as GRanges objects.

Author: Daniel Cameron [aut, cre] , Ruining Dong [aut]

Maintainer: Daniel Cameron <daniel.l.cameron at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("StructuralVariantAnnotation")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF   Reference Manual

Details

biocViews Annotation, DataImport, Genetics, Sequencing, Software, VariantAnnotation
Version 1.15.0
In Bioconductor since BioC 3.9 (R-3.6) (3.5 years)
License GPL-3 + file LICENSE
Depends GenomicRanges, rtracklayer, VariantAnnotation, BiocGenerics, R (>= 4.1.0)
Imports assertthat, Biostrings, stringr, dplyr, methods, rlang, GenomicFeatures, IRanges, S4Vectors, SummarizedExperiment, GenomeInfoDb
LinkingTo
Suggests ggplot2, devtools, testthat (>= 2.1.0), roxygen2, rmarkdown, tidyverse, knitr, ggbio, biovizBase, TxDb.Hsapiens.UCSC.hg19.knownGene, BSgenome.Hsapiens.UCSC.hg19
SystemRequirements
Enhances
URL
Depends On Me svaNUMT, svaRetro
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/StructuralVariantAnnotation
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/StructuralVariantAnnotation
Package Short Url https://bioconductor.org/packages/StructuralVariantAnnotation/
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