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Expected profile of one sample from stored k-mer identities

Usage

profileFromBias(prof, bias)

Arguments

prof

Output of kmerIndexProfile.

bias

Named k-mer weights of the sample.

Value

A data.table with the columns x and avg_ins.

Examples

if (FALSE) { # \dontrun{
profileFromBias(prof, bias[["sample_1"]])
} # }