Changelog • miplicorn

miplicorn 0.2.1

We now account for the UMI threshold when computing the frequency of mutations (#35).
New read_tbl_genotype() function can be used to read in the genotypes_AA_table.csv and genotypes_AN_table.csv generated by MIPTools (#34).

Minimum R version has been bumped up to 3.4. This reflects the minimum version defined by package imports.
Deprecate chromosome_map() in favor of plot_chromoMap() and plot_karyoploteR() (#25).

The new read_tbl_*() family of functions provides a consistent function call to read data tables generated by MIPTools (#17).
read_tbl_haplotype() can be used to read the haplotypes_count.csv file generated by MIPTools (#15).

New vignette("faq") answers some frequently asked questions (#32).
New mutation_frequency() and plot_mutation_frequency() functions can be used to determine the frequency of mutations (#29).
New mutation_prevalence() and plot_mutation_prevalence() functions can be used to determine the prevalence of mutations (#23).
New label_mutations() labels a mutation as "ref", "alt", "ins", or "del" (#3).
New theme_rainbow() creates a custom theme.

plot_karyoploteR() no longer prints plot noisily.
read_tbl_*() functions no longer change sample IDs (#20).
We now use rlang instead of cli to display messages, warnings, and errors (#16).
plot_karyoploteR() now works for arbitrary column names (#14).

chromosome_map() can now create an additional type of map (#11).
New chromosome_map() creates a chromosome map annotated with probe locations.
theme_miplicorn() specifies a custom theme for creating figures.
read() now allows for filtering on multiple conditions (#7).
New arrange_natural() naturally sorts a data frame (#5).
New convert_single() and convert_three convert amino acid abbreviations (#1).
Increase efficiency of read() (#2).
Added a NEWS.md file to track changes to the package.