kmer: Fast K-Mer Counting and Clustering for Biological Sequence Analysis

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
DOI: 10.32614/CRAN.package.kmer
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson at>
License: GPL-3
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:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: aphid, copyseparator, insect, packFinder


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