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README.md
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@@ -3,6 +3,8 @@ A curated set of variants from three sources: ClinVar, COSMIC, OMIM and gnomAD.
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Predictions for methods benchmarked in GPN-MSA paper can be [downloaded from here](https://huggingface.co/datasets/songlab/human_variants/resolve/main/variants_and_preds.parquet).
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Functional annotations can be [downloaded from here](https://huggingface.co/datasets/songlab/human_variants/resolve/main/functional_annotations.zip).
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## Data sources
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**ClinVar**:
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Predictions for methods benchmarked in GPN-MSA paper can be [downloaded from here](https://huggingface.co/datasets/songlab/human_variants/resolve/main/variants_and_preds.parquet).
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Functional annotations can be [downloaded from here](https://huggingface.co/datasets/songlab/human_variants/resolve/main/functional_annotations.zip).
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For more information check out our [paper](https://doi.org/10.1101/2023.10.10.561776) and [repository](https://github.com/songlab-cal/gpn).
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## Data sources
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**ClinVar**:
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