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: 1.0.1
Imports: openssl, phylogram, Rcpp (≥ 0.12.13), stats
LinkingTo: Rcpp
Suggests: ape (≥ 4.0), knitr, rmarkdown, testthat
Published: 2018-03-16
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_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: kmer_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: kmer archive

Reverse dependencies:

Reverse imports: aphid


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