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numbat: Haplotype-Aware CNV Analysis from scRNA-Seq

A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.

Version:1.5.1
Depends:R (≥ 4.1.0),Matrix
Imports:ape,caTools,data.table,dendextend,dplyr (≥ 1.1.1),GenomicRanges,ggplot2,ggraph,ggtree,glue,hahmmr,igraph,IRanges,logger,magrittr, methods,optparse, parallel,parallelDist,patchwork,pryr,purrr,Rcpp,RhpcBLASctl,R.utils,scales,scistreer (≥ 1.1.0), stats4,stringr,tibble,tidygraph,tidyr (≥ 1.3.0),vcfR,zoo
LinkingTo:Rcpp,RcppArmadillo,roptim
Suggests:ggrastr,ggrepel,knitr,matrixStats,testthat (≥ 3.0.0)
Published:2025-10-21
DOI:10.32614/CRAN.package.numbat
Author:Teng Gao [cre, aut], Ruslan Soldatov [aut], Hirak Sarkar [aut], Evan Biederstedt [aut], Peter Kharchenko [aut]
Maintainer:Teng Gao <tgaoteng at gmail.com>
License:MIT + fileLICENSE
URL:https://github.com/kharchenkolab/numbat/,https://kharchenkolab.github.io/numbat/
NeedsCompilation:yes
SystemRequirements:GNU make
Citation:numbat citation info
Materials:README,NEWS
CRAN checks:numbat results

Documentation:

Reference manual:numbat.html ,numbat.pdf

Downloads:

Package source: numbat_1.5.1.tar.gz
Windows binaries: r-devel:numbat_1.5.1.zip, r-release:numbat_1.5.1.zip, r-oldrel:numbat_1.5.1.zip
macOS binaries: r-release (arm64):numbat_1.5.1.tgz, r-oldrel (arm64):numbat_1.5.1.tgz, r-release (x86_64):numbat_1.5.1.tgz, r-oldrel (x86_64):numbat_1.5.1.tgz
Old sources: numbat archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=numbatto link to this page.


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