PNPP stands for "Positive-Negative;Positive-Positive", which is a reflection of the clusters of non-empty droplets in the wells. Use this plate type when your ddPCR data has three main clusters: double-negative (FAM-HEX-; empty droplets), double-positive (FAM+HEX+; represent the "PP" in PNPP), and singly-positive (either FAM+HEX- or HEX+FAM-; represent the "NP" in PNPP).
Every pnpp_experiment
plate must define which dimension is its positive
dimension. The positive dimension is defined as the dimension that corresponds
to the dye that has a high fluoresence intensity in all non-empty droplets. The other
dimension is defined as the variable dimension. For example, assuming
the HEX dye is plotted along the X axis and the FAM dye is along the Y axis,
a FAM+/FAM+HEX+ plate will have "Y" as its positive dimension because both
non-empty clusters have FAM+ droplets. Similarly, a HEX+/FAM+HEX+ plate will
have "X" as its positive dimension.
The positive dimension must be set in order to use a pnpp_experiment
.
It is not recommended to use this type directly; instead you should use one
of the subtypes (fam_positive_pnpp
or
hex_positive_pnpp
). If you do use this type directly,
you must set the positive dimension with positive_dim
.
Plates with this type have the following analysis steps: INITIALIZE
,
REMOVE_FAILURES
, REMOVE_OUTLIERS
, REMOVE_EMPTY
,
CLASSIFY
, RECLASSIFY
.
Plates with this type have the following droplet clusters:
UNDEFINED
, FAILED
, OUTLIER
, EMPTY
(double-negative),
RAIN
, POSITIVE
, NEGATIVE
.
See the README for more information on plate types.
plate_types
fam_positive_pnpp
hex_positive_pnpp
wildtype_mutant_pnpp
positive_dim
wells_positive
wells_negative
analyze
remove_failures
remove_outliers
remove_empty
classify_droplets
reclassify_droplets
if (FALSE) {
plate <- new_plate(sample_data_dir(), type = plate_types$pnpp_experiment)
type(plate)
}
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