#' @export
umiGroup <- function(UMI1, threshold1 = 3, UMI2 = NULL, threshold2 = threshold1, max.err=NA, groups=NULL)
# Groups UMIs based on their Levenshtein distances.
#
# written by Aaron Lun
# created 25 February 2018
{
UMI1 <- qualityMask(UMI1, max.err)
if (!is.null(UMI2)) {
UMI2 <- qualityMask(UMI2, max.err)
}
if (is.null(groups)) {
by.group <- list(seq_along(UMI1))
} else if (!is.list(groups)) {
by.group <- split(seq_along(UMI1), groups)
} else {
by.group <- groups
}
out <- .Call(cxx_umi_group, UMI1, threshold1, UMI2, threshold2, by.group)
unlist(out, recursive=FALSE, use.names=FALSE)
}
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