This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see infercnv.
Bioconductor version: 3.15
Using single-cell RNA-Seq expression to visualize CNV in cells.
Author: Timothy Tickle [aut], Itay Tirosh [aut], Christophe Georgescu [aut, cre], Maxwell Brown [aut], Brian Haas [aut]
Maintainer: Christophe Georgescu <cgeorges at broadinstitute.org>
Citation (from within R,
enter citation("infercnv")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("infercnv")
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("infercnv")
HTML | R Script | Visualizing Large-scale Copy Number Variation in Single-Cell RNA-Seq Expression Data |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Bayesian, CopyNumberVariation, Genetics, GenomicVariation, HiddenMarkovModel, SingleCell, Software, StatisticalMethod, StructuralVariation, Transcriptomics, VariantDetection |
Version | 1.12.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (3.5 years) |
License | BSD_3_clause + file LICENSE |
Depends | R (>= 4.0) |
Imports | graphics, grDevices, RColorBrewer, gplots, futile.logger, stats, utils, methods, ape, phyclust, Matrix, fastcluster, parallelDist, dplyr, HiddenMarkov, ggplot2, edgeR, coin, caTools, digest, RANN, leiden, reshape, rjags, fitdistrplus, future, foreach, doParallel, BiocGenerics, SummarizedExperiment, SingleCellExperiment, tidyr, parallel, coda, gridExtra, argparse |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, testthat |
SystemRequirements | JAGS 4.x.y |
Enhances | |
URL | https://github.com/broadinstitute/inferCNV/wiki |
BugReports | https://github.com/broadinstitute/inferCNV/issues |
Depends On Me | |
Imports Me | |
Suggests Me | SCpubr |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | infercnv_1.12.0.tar.gz |
Windows Binary | infercnv_1.12.0.zip (64-bit only) |
macOS Binary (x86_64) | infercnv_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/infercnv |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/infercnv |
Package Short Url | https://bioconductor.org/packages/infercnv/ |
Package Downloads Report | Download Stats |
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