This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see panelcn.mops.
Bioconductor version: 3.16
CNV detection tool for targeted NGS panel data. Extension of the cn.mops package.
Author: Verena Haunschmid [aut], Gundula Povysil [aut, cre]
Maintainer: Gundula Povysil <povysil at bioinf.jku.at>
Citation (from within R,
enter citation("panelcn.mops")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("panelcn.mops")
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("panelcn.mops")
R Script | panelcn.mops: Manual for the R package | |
Reference Manual | ||
Text | NEWS |
biocViews | CellBiology, CopyNumberVariation, Genetics, GenomicVariation, Sequencing, Software, VariantDetection |
Version | 1.20.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (5.5 years) |
License | LGPL (>= 2.0) |
Depends | R (>= 3.5.0), cn.mops, methods, utils, stats, graphics |
Imports | GenomicRanges, Rsamtools, IRanges, S4Vectors, GenomeInfoDb, grDevices |
LinkingTo | |
Suggests | knitr, rmarkdown, RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | CopyNumberPlots |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | panelcn.mops_1.20.0.tar.gz |
Windows Binary | panelcn.mops_1.20.0.zip |
macOS Binary (x86_64) | panelcn.mops_1.20.0.tgz |
macOS Binary (arm64) | panelcn.mops_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/panelcn.mops |
Source Repository (Developer Access) | git clone [email protected]:packages/panelcn.mops |
Bioc Package Browser | https://code.bioconductor.org/browse/panelcn.mops/ |
Package Short Url | https://bioconductor.org/packages/panelcn.mops/ |
Package Downloads Report | Download Stats |
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