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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 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

Documentation:

Reference manual: kmer.pdf
Vignettes: Introduction to the kmer package

Downloads:

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 dependencies:

Reverse imports: aphid, copyseparator, insect, packFinder
Reverse suggests: Platypus

Linking:

Please use the canonical form https://CRAN.R-project.org/package=kmer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.