tiledbvcf

Ingest, store, and query genomic variant data with TileDB.

94|11|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/swaruplab/operon --skill tiledbvcf-swaruplab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiledbvcf
Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/tiledbvcf
Command: npx skills add https://github.com/swaruplab/operon --skill tiledbvcf-swaruplab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TileDB-VCF enables scalable storage, indexing, and rapid querying of genomic variant data (VCF/BCF) across large cohorts, with cross-cloud export support.

Core Features & Use Cases

  • Ingest single or multiple VCF/BCF files with incremental sample addition.
  • Perform high-performance region queries and extract variant annotations across many samples.
  • Export results to VCF/BCF or TSV formats for downstream analyses and sharing.

Quick Start

Create a TileDB-VCF dataset, ingest a VCF file, and run a simple region query to validate end-to-end data access.

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 cohorts of VCF variant data?

Ingest VCF or BCF files into a TileDB-VCF dataset using the CLI or Python API to create scalable storage. You can then run parallel region queries across multiple samples and export the results to VCF, BCF, or TSV formats for downstream analysis.

Can I add new genomic samples incrementally to an existing TileDB-VCF dataset?

Yes, TileDB-VCF supports incremental sample addition to an existing dataset. You can ingest single or multiple VCF and BCF files over time without reloading the entire cohort, allowing you to expand your genomic variant storage as new data becomes available.

Does TileDB-VCF support querying genomic variants stored in cloud environments?

TileDB-VCF supports querying genomic variants stored across local or cloud storage environments. It offers high-performance region queries and cross-cloud export capabilities, allowing you to extract variant annotations and export to VCF, BCF, or TSV formats from cloud datasets.

Do I need Python bindings to use TileDB-VCF for genomic variant ingestion?

You need a TileDB-enabled environment with Python bindings to use the Python API for genomic variant ingestion and queries. TileDB-VCF also offers a command line interface for end-to-end workflows if you prefer not to use Python directly.

What is the best way to export queried variant annotations for downstream analysis?

The best way to export queried variant annotations is by using TileDB-VCF's export functionality to output results in VCF, BCF, or TSV formats. This allows you to easily share extracted genomic variants and integrate them into downstream analyses.