This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see RSVSim.
Bioconductor version: 3.15
RSVSim is a package for the simulation of deletions, insertions, inversion, tandem-duplications and translocations of various sizes in any genome available as FASTA-file or BSgenome data package. SV breakpoints can be placed uniformly accross the whole genome, with a bias towards repeat regions and regions of high homology (for hg19) or at user-supplied coordinates.
Author: Christoph Bartenhagen
Maintainer: Christoph Bartenhagen <c.bartenhagen at uni-koeln.de>
Citation (from within R,
enter citation("RSVSim")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("RSVSim")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RSVSim")
R Script | RSVSim: an R/Bioconductor package for the simulation of structural variations | |
Reference Manual |
biocViews | Sequencing, Software |
Version | 1.36.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (9.5 years) |
License | LGPL-3 |
Depends | R (>= 3.5.0), Biostrings, GenomicRanges |
Imports | methods, IRanges, ShortRead |
LinkingTo | |
Suggests | BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg19.masked, MASS, rtracklayer |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | RSVSim_1.36.0.tar.gz |
Windows Binary | RSVSim_1.36.0.zip |
macOS Binary (x86_64) | RSVSim_1.36.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RSVSim |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RSVSim |
Package Short Url | https://bioconductor.org/packages/RSVSim/ |
Package Downloads Report | Download Stats |
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