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@@ -12,17 +12,18 @@ The Dorado Basecalling workflow is used to convert Oxford Nanopore `POD5` sequen | |
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### Model Type Selection | ||
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Users can configure the basecalling model by setting the dorado_model input parameter: | ||
Users can configure the basecalling model by setting the `dorado_model` input parameter: | ||
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Default Model: "sup" (super accuracy) is used unless overridden by the user. | ||
Manual Model Input: Users can specify the full path or name of a specific model (e.g., [email protected]). | ||
Automatic Detection: When set to sup, hac, or fast, Dorado will automatically select the appropriate model version if available. | ||
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- **Model Type (sup):** (super accuracy) The most accurate model, recommended for critical applications requiring the highest basecall accuracy. It is the slowest of the three model types. | ||
- **Model Type (sup):** (Super Accuracy) The most accurate model, recommended for critical applications requiring the highest basecall accuracy. It is the slowest of the three model types. | ||
- **Model Type (hac):** (High Accuracy) A balance between speed and accuracy, recommended for most users. Provides accurate results faster than `sup` but less accurate than `sup`. | ||
- **Model Type (fast):** (Fast Model) The fastest model, recommended when speed is prioritized over accuracy, such as for initial analyses or non-critical applications. | ||
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### Example Manual Models: | ||
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- `[email protected]` | ||
- `[email protected]` | ||
- `[email protected]` | ||
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