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@@ -88,8 +88,8 @@ The ICOR model was trained in the MATLAB environment. For more details on model
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> A document that contains all of the benchmarking genes and descriptions of them.
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#### Optimizers
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`BFC_optimizer.py`
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> Background Frequency Choice optimizer creates a directory containing amino acid sequences in the FASTA format and saves these "optimized" / "generated" DNA sequences in a directory. It generates 10,000 sequences using the URC algorithm and chooses the one with the highest CAI.
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`ERC_optimizer.py`
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> Background Frequency Choice optimizer creates a directory containing amino acid sequences in the FASTA format and saves these "optimized" / "generated" DNA sequences in a directory. It generates 100,000 sequences using the URC algorithm and chooses the one with the highest CAI.
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`icor_optimizer.py`
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> ICOR optimizer outputs a text file given a sequence input of amino acids or DNA. It is an interactive Python command-line script. It runs an inference through the ICOR model.
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