scistreer: Maximum-Likelihood Perfect Phylogeny Inference at Scale

Fast maximum-likelihood phylogeny inference from noisy single-cell data using the 'ScisTree' algorithm by Yufeng Wu (2019) <doi:10.1093/bioinformatics/btz676>. 'scistreer' provides an 'R' interface and improves speed via 'Rcpp' and 'RcppParallel', making the method applicable to massive single-cell datasets (>10,000 cells).

Version: 1.2.0
Depends: R (≥ 4.1.0)
Imports: ape, dplyr, ggplot2, ggtree, igraph, parallelDist, patchwork, phangorn, Rcpp, reshape2, RcppParallel, RhpcBLASctl, stringr, tidygraph
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (≥ 3.0.0)
Published: 2023-06-15
DOI: 10.32614/CRAN.package.scistreer
Author: Teng Gao [cre, aut], Evan Biederstedt [aut], Peter Kharchenko [aut], Yufeng Wu [aut]
Maintainer: Teng Gao <tgaoteng at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: scistreer results


Reference manual: scistreer.pdf


Package source: scistreer_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scistreer_1.2.0.tgz, r-oldrel (arm64): scistreer_1.2.0.tgz, r-release (x86_64): scistreer_1.2.0.tgz, r-oldrel (x86_64): scistreer_1.2.0.tgz
Old sources: scistreer archive

Reverse dependencies:

Reverse imports: numbat


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