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strand-ai/variantformer-1000g

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Hugging Face2026-01-20 更新2026-03-29 收录
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资源简介:
--- license: cc-by-4.0 task_categories: - tabular-classification tags: - genomics - variants - 1000-genomes - gene-expression - variantformer size_categories: - 100G<n<1T --- # VariantFormer 1000 Genomes Dataset Gene expression predictions from VariantFormer for 538 samples from the 1000 Genomes Project. ## Dataset Structure ``` ├── manifest.csv # Sample metadata (population, sex) ├── predictions/ # VariantFormer predictions │ └── {sample_id}.parquet └── vcf/ # Per-sample VCF files ├── {sample_id}.vcf.gz └── {sample_id}.vcf.gz.tbi ``` ## Files - **manifest.csv**: Sample metadata with columns: `sample_id`, `population`, `superpopulation`, `sex` - **Parquet files**: VariantFormer gene expression predictions (~446 MB per sample, ~240 GB total) - **VCF files**: Variant calls per sample with tabix indexes (~380 GB total) ## Usage ```python import pandas as pd from huggingface_hub import hf_hub_download, snapshot_download # Download and load sample manifest manifest_path = hf_hub_download( repo_id="strand-ai/variantformer-1000g", filename="manifest.csv", repo_type="dataset" ) manifest = pd.read_csv(manifest_path) # Download predictions for a single sample pred_path = hf_hub_download( repo_id="strand-ai/variantformer-1000g", filename="predictions/HG00418.parquet", repo_type="dataset" ) df = pd.read_parquet(pred_path) # Download ALL data locally (~620 GB) snapshot_download( repo_id="strand-ai/variantformer-1000g", repo_type="dataset", local_dir="./variantformer-1000g" ) ``` ## Interactive Explorer Explore the data interactively at [strandai.bio/1000g-variantformer](https://strandai.bio/1000g-variantformer) ## Citation If you use this dataset, please cite: ``` @dataset{strand_variantformer_1000g, title={VariantFormer 1000 Genomes Predictions}, author={Strand AI}, year={2026}, url={https://huggingface.co/datasets/strand-ai/variantformer-1000g} } ``` ## License This dataset is released under CC-BY-4.0 for research use. ## Contact Questions? Email us at [founders@strandai.bio](mailto:founders@strandai.bio)
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strand-ai
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