tiledbvcf

Store and query large VCF datasets by ingesting VCF/BCF files into an array-based schema, enabling fast retrieval across 1-based genomic regions and samples for cohort analysis. This supports scalable population genomics workflows.

The best way to ingest VCF files for population genomics is using parallel ingestion to batch multiple samples, compressing data into an array-based storage format that supports incremental sample addition without restructuring existing datasets.

Yes, you can query genomic variant data stored in cloud storage or on-premises. The system supports parallel queries across defined genomic regions and samples, exporting retrieved genotype data for downstream analysis.

Yes, TileDB-VCF supports incremental sample addition to existing cohorts. You can ingest new VCF/BCF files into an existing array-based schema without disrupting previously ingested variant data.

Export queried genotype data by specifying genomic regions and samples during parallel queries, retrieving variant data through CLI or Python/CPP interfaces to output exportable formats for downstream analysis.