Bioc2026 Registration Open!

cardelino

Clone Identification from Single Cell Data

Bioconductor version: 3.23 · Package version: 1.14.0

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.

Installation

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

BiocManager::install("cardelino")

Details

MaintainerDavis McCarthy <dmccarthy@svi.edu.au>
AuthorJeffrey Pullin [aut], Yuanhua Huang [aut], Davis McCarthy [aut, cre]
LicenseGPL-3
URLhttps://github.com/single-cell-genetics/cardelino
Bug Reportshttps://github.com/single-cell-genetics/cardelino/issues
Downloads rank272
Source branchRELEASE_3_23
biocViewsExomeSeq, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.2), stats

Imports: combinat, GenomeInfoDb, GenomicRanges, ggplot2, ggtree, Matrix, matrixStats, methods, pheatmap, snpStats, S4Vectors, utils, VariantAnnotation, vcfR

Suggests: BiocStyle, foreach, knitr, pcaMethods, rmarkdown, testthat, VGAM

Enhances: doMC