Package: kmer 1.1.3

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.

Authors:Shaun Wilkinson [aut, cre]

kmer_1.1.3.tar.gz
kmer_1.1.3.zip(r-4.7)kmer_1.1.3.zip(r-4.6)kmer_1.1.3.zip(r-4.5)
kmer_1.1.3.tgz(r-4.6-x86_64)kmer_1.1.3.tgz(r-4.6-arm64)kmer_1.1.3.tgz(r-4.5-x86_64)kmer_1.1.3.tgz(r-4.5-arm64)
kmer_1.1.3.tar.gz(r-4.7-arm64)kmer_1.1.3.tar.gz(r-4.7-x86_64)kmer_1.1.3.tar.gz(r-4.6-arm64)kmer_1.1.3.tar.gz(r-4.6-x86_64)
kmer_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
kmer/json (API)

# Install 'kmer' in R:
install.packages('kmer', repos = c('https://shaunpwilkinson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/shaunpwilkinson/kmer/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

8.49 score 29 stars 7 packages 101 scripts 706 downloads 240 mentions 5 exports 9 dependencies

Last updated from:1b28b44796. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK327
linux-devel-x86_64OK142
source / vignettesOK197
linux-release-arm64OK329
linux-release-x86_64OK139
macos-release-arm64OK90
macos-release-x86_64OK216
macos-oldrel-arm64OK86
macos-oldrel-x86_64OK302
windows-develOK100
windows-releaseOK90
windows-oldrelOK107
wasm-releaseOK112

Exports:clusterkcountkdistancembedotu

Dependencies:apeaskpassdigestlatticenlmeopensslphylogramRcppsys

Introduction to the kmer R package

Rendered fromkmer-vignette.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-01-22
Started: 2018-02-16