get.cvg.gain: Computation of Coverage Gain.

In matdoering/openPrimeR: Multiplex PCR Primer Design and Analysis

Computation of Coverage Gain.

Description

Computes the coverage gain from covered.seqs.

Usage

get.cvg.gain(
  covered.seqs,
  template.df,
  missing.df,
  candidate.df,
  con.names,
  constraint.limits,
  feasible.only = FALSE
)

Arguments

covered.seqs	List with covered sequences.
template.df	A Templates data frame.
missing.df	A Templates data frame containing only the templates that still need to be covered.
candidate.df	A Primers data frame containing candidate primers.
con.names	The constraint to evaluate the coverage gain for upon being relaxed.
constraint.limits	A list with constraint limits.
feasible.only	Whether only feasible coverage gains are to be outtputed. Here, feasible relates to coverage gains that can be obtained directly with the next relaxation.

Value

The number of covered sequences to be gained.

matdoering/openPrimeR documentation built on July 4, 2025, 3:59 a.m.