tiledbvcf

Store and query genomic variant data from VCF/BCF files using TileDB sparse arrays.

321|26|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/mkurman/tamux --skill tiledbvcf-mkurman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiledbvcf
Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/tiledbvcf
Command: npx skills add https://github.com/mkurman/tamux --skill tiledbvcf-mkurman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TileDB-VCF addresses the challenge of efficiently storing, indexing, and querying large genomic variant datasets, enabling scalable ingestion and fast access to variant data across many samples and regions.

Core Features & Use Cases

  • Efficient single-sample VCF ingestion with parallel processing and incremental sample addition.
  • Fast region-based queries across thousands of samples, with support for INFO/FORMAT fields and cloud storage.
  • Export capabilities to VCF/BCF and tabular formats for downstream analyses and reproducible pipelines.
  • Educational prototyping and population genomics research, from small experiments to large cohorts.

Quick Start

Start TileDB-VCF by initializing a dataset and ingesting your first single-sample VCF with an indexed VCF file to begin building a scalable variant database.

Frequently Asked Questions about tiledbvcf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I store and query large VCF genomic variant datasets efficiently?

TileDB-VCF stores genomic variant data using sparse arrays, enabling scalable ingestion of VCF/BCF files and fast region-specific queries across thousands of samples for population genomics and cohort studies.

Can I incrementally add new samples to an existing genomic variant database?

Yes, TileDB-VCF supports incremental sample addition, allowing you to continuously ingest single-sample VCF files with indexes into an existing variant database without reprocessing previously stored data.

What is the best way to query specific genomic regions across thousands of samples?

TileDB-VCF performs parallel region queries across many samples, supporting INFO/FORMAT fields and cloud storage, with configurable memory budgets and region/sample partitions to ensure robust operation.

How do I export queried variant data for downstream analysis pipelines?

TileDB-VCF provides export capabilities to standard VCF/BCF and tabular formats, enabling reproducible pipelines and downstream analyses directly from the queried sparse array data.

Does TileDB-VCF work with cloud storage for cohort genomics workflows?

Yes, TileDB-VCF supports cloud storage workflows for population genomics research and large cohort studies, offering CLI and Python interfaces to access variant data across scalable cloud environments.

Do I need indexed VCF files to start ingesting genomic data?

Yes, TileDB-VCF requires indexed VCF files for single-sample ingestion to initialize the dataset and begin building a scalable variant database with sparse array storage.