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kmer  

Fast K-Mer Counting and Clustering for Biological Sequence Analysis
View on CRAN: Click here


Download and install kmer package within the R console
Install from CRAN:
install.packages("kmer")

Install from Github:
library("remotes")
install_github("cran/kmer")

Install by package version:
library("remotes")
install_version("kmer", "1.1.2")



Attach the package and use:
library("kmer")
Maintained by
Shaun Wilkinson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-06
Latest Update: 2019-05-20
Description:
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) for a review of k-mer counting methods and applications for biological sequence analysis.
How to cite:
Shaun Wilkinson (2018). kmer: Fast K-Mer Counting and Clustering for Biological Sequence Analysis. R package version 1.1.2, https://cran.r-project.org/web/packages/kmer. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2018-03-06 20:05), 1.0.1 (2018-03-16 05:28), 1.0.2 (2018-04-07 06:53), 1.1.0 (2018-07-04 14:00), 1.1.1 (2019-03-15 08:10), 1.1.2 (2019-05-20 07:10)
Other packages that cited kmer R package
View kmer citation profile
Other R packages that kmer depends, imports, suggests or enhances
Complete documentation for kmer
Functions, R codes and Examples using the kmer R package
Some associated functions: cluster . kcount . kdistance . kmer . mbed . otu . 
Some associated R codes: RcppExports.R . cluster.R . distance.R . internals.R . kmer.R . otu.R .  Full kmer package functions and examples
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