Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.

TileDB VCF Overview TileDB VCF is a high performance C++ library with Python and CLI interfaces for efficient storage and retrieval of genomic variant call data. Built on TileDB's sparse array technology, it enables scalable ingestion of VCF/BCF files, incremental sample addition without expensive merging operations, and efficient parallel queries of variant data stored locally or in the cloud. When to Use This Skill This skill should be used when: Learning TileDB VCF concepts and workflows Prototyping genomics analyses and pipelines Working with small to medium datasets (< 1000 samples) Need incremental addition of new samples to existing datasets Require efficient querying of specific genomic regions across many samples Working with cloud stored variant data (S3, Azure, GCS) Need to export subsets of large VCF datasets Building variant databases for cohort studies Educational projects and method development Performance is critical for variant data operations Quick Start Installation Preferred Method: Conda/Mamba Alternative: Docker Images Basic Examples Create and populate a dataset: Query variant data: Export to VCF: Core Capabilities 1. Dataset Creation and Ingestion Create TileDB VCF datasets and incrementally ingest variant data from multiple VCF/BCF files. This is appropriate for building population genomics databases and cohort studies. Requirements: Single sample VCFs only : Multi sample VCFs are not supported Index files required : VCF/BCF files must have indexes (.csi or .tbi) Common operations: Create new datasets with optimized array schemas Ingest single or multiple VCF/BCF files in parallel Add new samples incrementally without re processing existing data Configure memory usage and compression settings Handle various VCF formats and INFO/FORMAT fields Resume interrupted ingestion processes Validate data integrity during ingestion 2. Efficient Querying and Filtering Query variant data with high performance across genomic regions, samples, and variant attributes. This is appropriate for association studies, variant discovery, and population analysis. Common operations: Query specific genomic regions (single or multiple) Filter by sample names or sample groups Extract specific variant attributes (position, alleles, genotypes, quality) Access INFO and FORMAT fields efficiently Combine spatial and attribute based filtering Stream large query results Perform aggregations across samples or regions 3. Data Export and Interoperability Export data in various formats for downstream analysis or integration with other genomics tools. This is appropriate for sharing datasets, creating analysis subsets, or feeding other pipelines. Common operations: Export to standard VCF/BCF formats Generate TSV files with selected fields Create sample/region specific subsets Maintain data provenance and metadata Lossless data export preserving all annotations Compressed output formats Streaming exports for large datasets 4. Population Genomics Workflows TileDB VCF excels at large scale population genomics analyses requiring efficient access to variant data across many samples and genomic regions. Common workflows: Genome wide association studies (GWAS) data preparation Rare variant burden testing Population stratification analysis Allele frequency calculations across populations Quality control across large cohorts Variant annotation and filtering Cross population comparative analysis Key Concepts Array Schema and Data Model TileDB VCF Data Model: Variants stored as sparse arrays with genomic coordinates as dimensions Samples stored as attributes allowing efficient sample specific queries INFO and FORMAT fields preserved with original data types Automatic compression and chunking for optimal storage Schema Configuration: Coordinate Systems and Regions Critical: TileDB VCF uses 1 based genomic coordinates following VCF standard: Positions are 1 based (first base is position 1) Ranges are inclusive on both ends Region "chr1:1000 2000" includes positions 1000 2000 (1001 bases total) Region specification formats: Memory Management Performance considerations: 1. Set appropriate memory budget based on available system memory 2. Use streaming queries for very large result sets 3. Partition large ingestions to avoid memory exhaustion 4. Configure tile cache for repeated region access 5. Use parallel ingestion for multiple files 6. Optimize region queries by combining nearby regions Cloud Storage Integration TileDB VCF seamlessly works with cloud storage: Common Pitfalls 1. Memory exhaustion during ingestion: Use appropriate memory budget and batch processing for large VCF files 2. Inefficient region queries: Combine nearby regions instead of many separate queries 3. Missing sample names: Ensure sample names in VCF headers match query sample specifications 4. Coordinate system confusion: Remember TileDB VCF uses 1 based coordinates like VCF standard 5. Large result sets: Use streaming or pagination for queries returning millions of variants 6. Cloud permissions: Ensure proper authentication for cloud storage access 7. Concurrent access: Multiple writers to the same dataset can cause corruption—use appropriate locking CLI Usage TileDB VCF provides a command line interface with the following subcommands: Available Subcommands: create Creates an empty TileDB VCF dataset store Ingests samples into a TileDB VCF dataset export Exports data from a TileDB VCF dataset list Lists all sample names present in a TileDB VCF dataset stat Prints high level statistics about a TileDB VCF dataset utils Utils for working with a TileDB VCF dataset version Print the version information and exit Advanced Features Allele Frequency Analysis Sample Quality Control Custom Configurations Resources Getting Help Open Source TileDB VCF Resources Open Source Documentation: TileDB Academy: https://cloud.tiledb.com/academy/ Population Genomics Guide: https://cloud.tiledb.com/academy/structure/life sciences/population genomics/ TileDB VCF GitHub: https://github.com/TileDB Inc/TileDB VCF TileDB Cloud Resources For Large Scale/Production Genomics: TileDB Cloud Platform: https://cloud.tiledb.com TileDB Academy (All Documentation): https://cloud.tiledb.com/academy/ Getting Started: Free account signup: https://cloud.tiledb.com Contact: sales@tiledb.com for enterprise needs Scaling to TileDB Cloud When your genomics workloads outgrow single node processing, TileDB Cloud provides enterprise scale capabilities for production genomics pipelines. Note : This section covers TileDB Cloud capabilities based on available documentation. For complete API details and current functionality, consult the official TileDB Cloud documentation and API reference. Setting Up TileDB Cloud 1. Create Account and Get API Token 2. Install TileDB Cloud Python Client 3. Configure Authentication Migrating from Open Source to TileDB Cloud Large Scale Ingestion Distributed Query Processing Enterprise Features Data Sharing and Collaboration Cost Optimization Serverless Compute : Pay only for actual compute time Auto scaling : Automatically scale up/down based on workload Spot Instances : Use cost optimized compute for batch jobs Data Tiering : Automatic hot/cold storage management Security and Compliance End to end Encryption : Data encrypted in transit and at rest Access Controls : Fine grained permissions and audit logs HIPAA/SOC2 Compliance : Enterprise security standards VPC Support : Deploy in private cloud environments When to Migrate Checklist ✅ Migrate to TileDB Cloud if you have: [ ] Datasets 1000 samples [ ] Need to process 100GB of VCF data [ ] Require distributed computing [ ] Multiple team members need access [ ] Need enterprise security/compliance [ ] Want cost optimized serverless compute [ ] Require 24/7 production uptime Getting Started with TileDB Cloud 1. Start Free : TileDB Cloud offers free tier for evaluation 2. Migration Support : TileDB team provides migration assistance 3. Training : Access to genomics specific tutorials and examples 4. Professional Services : Custom deployment and optimization Next Steps: Visit https://cloud.tiledb.com to create account Review documentation at https://cloud.tiledb.com/academy/ Contact sales@tiledb.com for enterprise needs

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