This function quantifies unique clones. The unique clones can be either reported as a raw output or scaled to the total number of clones recovered using the scale parameter.
clonalQuant(
input.data,
cloneCall = "strict",
chain = "both",
scale = FALSE,
group.by = NULL,
order.by = NULL,
exportTable = FALSE,
palette = "inferno",
...
)The product of combineTCR(),
combineBCR(), or combineExpression().
Defines the clonal sequence grouping. Accepted values
are: gene (VDJC genes), nt (CDR3 nucleotide sequence), aa (CDR3 amino
acid sequence), or strict (VDJC + nt). A custom column header can also be used.
The TCR/BCR chain to use. Use both to include both chains
(e.g., TRA/TRB). Accepted values: TRA, TRB, TRG, TRD, IGH, IGL
(for both light chains), both.
Converts the graphs into percentage of unique clones
A column header in the metadata or lists to group the analysis
by (e.g., "sample", "treatment"). If NULL, data will be analyzed
by list element or active identity in the case of single-cell objects.
A character vector defining the desired order of elements
of the group.by variable. Alternatively, use alphanumeric to sort groups
automatically.
If TRUE, returns a data frame or matrix of the results
instead of a plot.
Colors to use in visualization - input any hcl.pals
Additional arguments passed to the ggplot theme
A ggplot object visualizing the total or relative number of clones
or a data.frame if exportTable = TRUE.
# Making combined contig data
combined <- combineTCR(contig_list,
samples = c("P17B", "P17L", "P18B", "P18L",
"P19B","P19L", "P20B", "P20L"))
# Using clonalQuant()
clonalQuant(combined,
cloneCall="strict",
scale = TRUE)