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README.md

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@@ -16,17 +16,17 @@ Once installed, Casanovo can be used with a simple command line interface. Run `
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- To evaluate _de novo_ sequencing performance of a pre-trained model (peptide annotations are needed for spectra):
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```
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casanovo --mode=eval --model_path='path/to/pretrained' --test_data_path='path/to/test' --config_path='path/to/config'
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casanovo --mode=eval --model_path='path/to/pretrained' --test_data_path='path/to/test/mgf/files/dir' --config_path='path/to/config'
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```
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- To run _de novo_ sequencing without evaluation (specificy directory path for output csv file with _de novo_ sequences):
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- To run _de novo_ sequencing without evaluation (specificy directory path for output csv file with _de novo_ sequences, see `casanovo_sample_output.csv` for a sample output file):
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```
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casanovo --mode=denovo --model_path='path/to/pretrained' --test_data_path='path/to/test' --config_path='path/to/config' --output_path='path/to/output'
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casanovo --mode=denovo --model_path='path/to/pretrained' --test_data_path='path/to/test/mgf/files/dir' --config_path='path/to/config' --output_path='path/to/output'
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```
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- To train a model from scratch or continue training a pre-trained model:
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```
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casanovo train --mode=train --model_path='path/to/pretrained' --train_data_path='path/to/train' --val_data_path='path/to/validation' --config_path='path/to/config'
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casanovo train --mode=train --model_path='path/to/pretrained' --train_data_path='path/to/train/mgf/files/dir' --val_data_path='path/to/validation/mgf/files/dir' --config_path='path/to/config'
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```
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