Hail is an open-source Python library that simplifies genomic data analysis. It provides powerful, easy-to-use data science tools that can be used to interrogate even biobank-scale genomic data (e.g UK Biobank, TopMed, FinnGen, and Biobank Japan).
Modern data science is driven by table-like data structures, often called dataframes (see Pandas). While convenient, they don't capture the structure of genetic data, which has row (variant) and column (genotype) groups. To remedy this, Hail introduces a distributed, dataframe-like structure called MatrixTable.
The Hail MatrixTable unifies a wide range of input formats (e.g. vcf, bgen, plink, tsv, gtf, bed files), and supports scalable queries, even on petabyte-size datasets. By leveraging MatrixTable, Hail provides an integrated, scalable analysis platform for science.