tiledbvcf

Ingest and query genomic variant data using TileDB-VCF.

21|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/OwnLabAI/ownlab --skill tiledbvcf-ownlabai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiledbvcf
Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/tiledbvcf
Command: npx skills add https://github.com/OwnLabAI/ownlab --skill tiledbvcf-ownlabai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TileDB-VCF enables scalable storage and fast retrieval of genomic variant-call data, addressing the data management and performance bottlenecks in genomics workflows.

Core Features & Use Cases

  • Dataset creation and ingestion: Create TileDB-VCF datasets and incrementally ingest single-sample VCF/BCF files, supporting parallel ingestion and configurable resources.
  • Efficient querying and export: Run region-based queries across many samples and export results to VCF/TSV for downstream analyses.
  • Population genomics workflows: Facilitate cohort studies, allele frequency calculations, QC, and scalable analyses across large datasets.
  • Interoperability: Works with local and cloud storage (S3/Azure/GCS), enabling scalable cloud-native genomics pipelines.

Quick Start

Install TileDB-VCF, create a dataset, ingest single-sample VCFs, and run a read/export example.

Frequently Asked Questions about tiledbvcf

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

FAQPage Schema
How do I ingest and query large-scale genomic variant data efficiently?

Ingest and query large-scale genomic variant data efficiently using TileDB-VCF to store single-sample VCF/BCF files in an array format. It supports parallel ingestion and region-based querying across many samples to reduce data retrieval bottlenecks in cohort studies.

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

Yes, you can incrementally add new single-sample VCF files to an existing TileDB-VCF dataset. This allows you to grow your dataset over time without reprocessing previously ingested samples, supporting scalable population genomics workflows and cohort studies.

Does TileDB-VCF work with cloud storage like S3 or Azure for genomics pipelines?

TileDB-VCF works with local and cloud storage including S3, Azure, and GCS. This interoperability enables scalable cloud-native genomics pipelines by allowing you to ingest and query variant data directly from remote cloud storage buckets.

What is the best way to export queried genomic variants for downstream analysis?

The best way to export queried genomic variants for downstream analysis is using TileDB-VCF's export function to output results in VCF or TSV format. This facilitates subsequent allele frequency calculations, quality control, and other scalable analyses across large datasets.

How do I perform region-based queries across multiple samples in a cohort study?

To perform region-based queries across multiple samples in a cohort study, use TileDB-VCF to retrieve variants from specific genomic regions. This mechanism allows fast retrieval of targeted variant-call data across large populations for scalable analysis and quality control.