The methods are widely applicable to other DNA sequence clustering problems. Someone may obtain contradicting results with a new algorithm. In such a case, rerunning our scripts on the same or new data may help elucidate the source of the differences between the results.
We spend a lot of time to make our analyses reproducible. A review would allow us to collect some information on whether we are successful with it.
We think this is an interesting paper for anyone who wants to learn to build an API with the R package plumber. This is a novel method in health economics, but we believe will help improve the transparency of modelling methods in our field.