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cardelino

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16

Clone Identification from Single Cell Data


Bioconductor version: Development (3.24)

Methods to infer clonal tree configuration for a population of cells using single-cell RNA-seq data (scRNA-seq), and possibly other data modalities. Methods are also provided to assign cells to inferred clones and explore differences in gene expression between clones. These methods can flexibly integrate information from imperfect clonal trees inferred based on bulk exome-seq data, and sparse variant alleles expressed in scRNA-seq data. A flexible beta-binomial error model that accounts for stochastic dropout events as well as systematic allelic imbalance is used.

Author: Jeffrey Pullin [aut], Yuanhua Huang [aut], Davis McCarthy [aut, cre]

Maintainer: Davis McCarthy <dmccarthy at svi.edu.au>

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

Jeffrey Pullin, Yuanhua Huang, Davis McCarthy. cardelino: Clone Identification from Single Cell Data. doi:10.18129/B9.bioc.cardelino, R package version 1.15.0, https://bioconductor.org/packages/cardelino.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("cardelino")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cardelino")
Clone ID with cardelino HTML R Script
Reference ManualPDF

Details

biocViews ExomeSeq, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization
Version1.15.0
In Bioconductor sinceBioC 3.16 (R-4.2) (4 years)
License GPL-3
Depends R (>= 4.2), stats
Imports combinat, GenomeInfoDb, GenomicRanges, ggplot2, ggtree, Matrix, matrixStats, methods, pheatmap, snpStats, S4Vectors, utils, VariantAnnotation, vcfR
System Requirements
URLhttps://github.com/single-cell-genetics/cardelino
Bug Reportshttps://github.com/single-cell-genetics/cardelino/issues
See More
Suggests BiocStyle, foreach, knitr, pcaMethods, rmarkdown, testthat, VGAM
Linking To
Enhances doMC
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package cardelino_1.15.0.tar.gz
Windows Binary (x86_64) cardelino_1.15.0.zip
macOS Binary (big-sur-x86_64) cardelino_1.15.0.tgz
macOS Binary (sonoma-arm64) cardelino_1.15.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/cardelino
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/cardelino
Package Short Url https://bioconductor.org/packages/cardelino/
Package Downloads ReportDownload Stats