Make all elements of a character vector unique. 
    Differs from 'make.unique' by starting at 1 and allowing users to customise suffix format.

R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in <doi:10.1093/bioinformatics/btac241>. The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.

MAle Lineage ANalysis by simulating 
    genealogies backwards and imposing short tandem repeats (STR) mutations forwards. 
    Intended for forensic Y chromosomal STR (Y-STR) haplotype analyses. 
    Numerous analyses are possible, e.g. number of matches and meiotic distance to matches. 
    Refer to papers mentioned in citation("malan") (DOI's: 
    <doi:10.1371/journal.pgen.1007028>, 
    <doi:10.21105/joss.00684> and 
    <doi:10.1016/j.fsigen.2018.10.004>).

Find dark genes. These genes are often disregarded due to no detected mutation or differential expression, but are important in coordinating the functionality in cancer networks.

A suite of tools to allow you to download all 
  publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from 
  the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting
  the downloaded data.

It is designed to work with text written in Bahasa Malaysia. We provide 
    functions and data sets that will make working with Bahasa Malaysia text much easier. 
    For word stemming in particular, we will look up the Malay words in a dictionary and
    then proceed to remove "extra suffix" as explained in Khan, Rehman Ullah, 
    Fitri Suraya Mohamad, Muh Inam UlHaq, Shahren Ahmad Zadi Adruce, 
    Philip Nuli Anding, Sajjad Nawaz Khan, and Abdulrazak Yahya Saleh Al-Hababi
    (2017) <https://ijrest.net/vol-4-issue-12.html> . This package includes
    a dictionary of Malay words that may be used to perform word stemming, 
    a dataset of Malay stop words, a dataset of sentiment words
    and a dataset of normalized words.