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rCNV: Detect Copy Number Variants from SNPs Data

Functions in this package will import filtered variant call format (VCF) files of SNPs data and generate data sets to detect copy number variants, visualize them and do downstream analyses with copy number variants(e.g. Environmental association analyses).

Version: 1.3.0
Depends: R (≥ 3.6.0)
Imports: data.table, graphics, colorspace, R.utils, qgraph, stringr
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0), covr
Published: 2024-09-20
DOI: 10.32614/CRAN.package.rCNV
Author: Piyal Karunarathne ORCID iD [aut, cre], Qiujie Zhou ORCID iD [aut], Klaus Schliep ORCID iD [aut], Pascal Milesi ORCID iD [aut]
Maintainer: Piyal Karunarathne <piyalkarumail at yahoo.com>
BugReports: https://github.com/piyalkarum/rCNV/issues
License: AGPL (≥ 3)
URL: https://piyalkarum.github.io/rCNV/, https://cran.r-project.org/package=rCNV
NeedsCompilation: no
Language: en-US
Citation: rCNV citation info
Materials: README NEWS
CRAN checks: rCNV results

Documentation:

Reference manual: rCNV.pdf

Downloads:

Package source: rCNV_1.3.0.tar.gz
Windows binaries: r-devel: rCNV_1.3.0.zip, r-release: rCNV_1.3.0.zip, r-oldrel: rCNV_1.3.0.zip
macOS binaries: r-release (arm64): rCNV_1.3.0.tgz, r-oldrel (arm64): rCNV_1.3.0.tgz, r-release (x86_64): rCNV_1.3.0.tgz, r-oldrel (x86_64): rCNV_1.3.0.tgz
Old sources: rCNV archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.