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

A Framework of Functions to Combine, Analize and Interpret CNVs Calling Results

Bioconductor version: Development (3.19)

This package contains a set of functions to perform several type of processing and analysis on CNVs calling pipelines/algorithms results in an integrated manner and regardless of the raw data type (SNPs array or NGS). It provides functions to combine multiple CNV calling results into a single object, filter them, compute CNVRs (CNV Regions) and inheritance patterns, detect genic load, and more. The package is best suited for studies in human family-based cohorts.

Author: Simone Montalbano [cre, aut]

Maintainer: Simone Montalbano <simone.montalbano at protonmail.com>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


Reference Manual PDF


biocViews Preprocessing, Software, WorkflowStep
Version 1.11.1
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends R (>= 4.1), data.table
Imports ggplot2
System Requirements
Bug Reports https://github.com/SinomeM/CNVgears/issues
See More
Suggests VariantAnnotation, DelayedArray, knitr, biomaRt, evobiR, rmarkdown, devtools, cowplot, usethis, scales, testthat, GenomicRanges, cn.mops, R.utils
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary CNVgears_1.11.1.zip
macOS Binary (x86_64) CNVgears_1.11.1.tgz
macOS Binary (arm64) CNVgears_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CNVgears
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CNVgears
Package Short Url https://bioconductor.org/packages/CNVgears/
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