score_consensus: Given a test bin of sequences, benchmark how well the input...
In philliplab/MotifBinner: Bin reads by Motif

Given a test bin of sequences, benchmark how well the input consensus sequence can be reconstructed

score_consensus(test_bin, classification_technique = "infovar_balance",
  classification_params = list(threshold = 1),
  alignment_technique = "muscle", alignment_params = list(),
  consensus_technique = "Biostrings::consensusString",
  consensus_params = list())

`test_bin`	The test bin to benchmark
`classification_technique`	The technique to use to search for mislabelled sequences
`classification_params`	The parameters for the classification technique
`alignment_technique`	The alignment technique to use
`alignment_params`	The alignment parameters to use
`consensus_technique`	The technique to use when generating the consensus sequence
`consensus_params`	The parameters for the consensus generator