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@@ -7,20 +7,20 @@ Data and pre-trained model weights are available [here](https://zenodo.org/recor
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## How to get started with Casanovo?
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Install `casanovo` as a Python package from this repo (dependencies will be installed automatically as needed):
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Install `casanovo` as a Python package from this repo (requires Python 3.7+, dependencies will be installed automatically as needed):
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```
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pip install git+https://github.com/Noble-Lab/casanovo.git#egg=casanovo
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```
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Once installed, Casanovo can be used with a simple command line interface. All data, model and training-related options can be specified in `casanovo/config.py`, default configuration was used to obtain the reported results.
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Once installed, Casanovo can be used with a simple command line interface. Run `casanovo --help` for more details. All auxiliary data, model and training-related variables can be specified in a user created `.py` file, see `casanovo/config.py` for the default configuration that was used to obtain the reported results.
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- To run _de novo_ sequencing with a pre-trained model:
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```
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casanovo test
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casanovo --mode=test --model_path='path/to/pretrained' --test_data_path='path/to/test' --config_path='path/to/config'
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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
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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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```
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