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: |
1.1.0 |
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: |
2023-01-06 |
Author: |
Teng Gao [cre, aut],
Evan Biederstedt [aut],
Peter Kharchenko [aut],
Yufeng Wu [aut] |
Maintainer: |
Teng Gao <tgaoteng at gmail.com> |
License: |
GPL-3 |
URL: |
https://github.com/kharchenkolab/scistreer,
https://kharchenkolab.github.io/scistreer/ |
NeedsCompilation: |
yes |
SystemRequirements: |
C++11, GNU make |
Materials: |
README |
CRAN checks: |
scistreer results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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