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DataFreeOpen Source
HAIL
Genomic dataframes and batch compute for biobank-scale genetics
MIT
ABOUT
Population genetics tables are too wide and sparse for pandas, and rolling custom Spark jobs for every QC step does not scale. Hail is a genomic dataframe library so teams can filter variants, run GWAS, and share pipelines from a laptop to a cluster.
INSTALL
pip install hailINTEGRATION GUIDE
1. Load VCF or MatrixTable data and run variant QC before association tests
2. Compute GWAS summary statistics on a biobank-scale genotype matrix
3. Annotate variants with public frequency and consequence datasets
4. Run Hail Batch jobs on cloud VMs for sequencing secondary analysis
5. Export cleaned genetic tables to pandas or Spark for downstream ML
TAGS
genomicsgwassparkdataframespythonbioinformaticsbatch