compute_rearr_stat_dist: Computes distances between samples in a dataset based on...
In milaboratory/mirutil:

Produces a data frame with pairwise distances between samples computed for segment usage, insert size and segment trimming size histograms. A square root of Jensen-Shannon Divergence is used as a metric. Note that no distances are computed for samples having distinct antigen receptor chain lists

1 2	compute_rearr_stat_dist(stats_bundle, value.types = c("reads", "clonotypes"), add.pseudocounts = F, cores = 2)

`stats_bundle`	a set of rearrangement statistics produced by 'compute_rearr_stats' function
`value.types`	specifies whether to use weighted histograms - 'reads' or to count each clonotype once - 'clonotypes'; can specify both
`add.pseudocounts`	if true will re-compute histograms by adding a pseudocount of 1 to each histogram, including missing bins, and re-normalize them to new total
`cores`	number of cores for parallelization