Fast K-Mer Counting and Clustering for Biological Sequence
Analysis
person("Shaun", "Wilkinson", role = c("aut", "cre"),
                     email = "shaunpwilkinson@gmail.com")
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.
ape (>= 4.0), dendextend, knitr, rmarkdown, testthat