Contains tools for rapidly computing distance matrices and clustering large sequence datasets using fast alignment-free k-mer counting and recursive k-means partitioning. See Vinga and Almeida (2003) <doi:10.1093/bioinformatics/btg005> for a review of k-mer counting methods and applications for biological sequence analysis.
Version: | 1.1.2 |
Imports: | openssl, phylogram, Rcpp (≥ 0.12.13) |
LinkingTo: | Rcpp |
Suggests: | ape (≥ 4.0), dendextend, knitr, rmarkdown, testthat |
Published: | 2019-05-20 |
Author: | Shaun Wilkinson [aut, cre] |
Maintainer: | Shaun Wilkinson <shaunpwilkinson at gmail.com> |
BugReports: | http://github.com/shaunpwilkinson/kmer/issues |
License: | GPL-3 |
URL: | http://github.com/shaunpwilkinson/kmer |
NeedsCompilation: | yes |
Citation: | kmer citation info |
Materials: | README |
CRAN checks: | kmer results |
Reference manual: | kmer.pdf |
Vignettes: |
Introduction to the kmer package |
Package source: | kmer_1.1.2.tar.gz |
Windows binaries: | r-devel: kmer_1.1.2.zip, r-release: kmer_1.1.2.zip, r-oldrel: kmer_1.1.2.zip |
macOS binaries: | r-release (arm64): kmer_1.1.2.tgz, r-oldrel (arm64): kmer_1.1.2.tgz, r-release (x86_64): kmer_1.1.2.tgz, r-oldrel (x86_64): kmer_1.1.2.tgz |
Old sources: | kmer archive |
Reverse imports: | aphid, copyseparator, insect, packFinder |
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