tiledbvcf

Ingest and query genomic variant data from VCF files.

1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Hung-3008/agusta --skill tiledbvcf-hung-3008
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiledbvcf
Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/tiledbvcf
Command: npx skills add https://github.com/Hung-3008/agusta --skill tiledbvcf-hung-3008

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TileDB-VCF enables efficient ingestion, storage, and retrieval of genomic variant data (VCF/BCF) at scale, supporting incremental sample addition and fast, parallel queries for cohort analyses.

Core Features & Use Cases

  • High-performance ingestion: ingest single-sample VCFs with required indexes and parallel processing.
  • Incremental updates: add new samples without reprocessing existing data.
  • Fast queries & exports: region-based variant queries across many samples and export to VCF/TSV formats.
  • Cloud-ready storage: operate on local or cloud storage (S3, Azure, GCS) datasets for scalability.

Quick Start

Install TileDB-VCF, create a dataset, ingest a single-sample VCF, and perform a region query to validate setup.

Frequently Asked Questions about tiledbvcf

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

FAQPage Schema
How do I ingest large cohorts of genomic VCF files efficiently?

Genomic VCF ingestion at scale is handled through parallel processing of single-sample VCFs. TileDB-VCF supports required index files and incremental sample addition, allowing you to add new samples without reprocessing existing cohort data.

What is the best way to query genomic variants across a large cohort by region?

Region-based variant queries across many samples are executed efficiently using TileDB-VCF. You can query specific genomic regions across large cohorts and export the resulting variant data directly to VCF or TSV formats.

Can I store and query genomic variant data directly from cloud storage?

Cloud-backed genomic datasets are fully supported. TileDB-VCF operates on local storage or cloud platforms like S3, Azure, and GCS, enabling scalable storage and querying of variant data without local downloads.

Do I need to reprocess my entire genomic dataset when adding new samples?

Reprocessing existing data is not required when adding new samples. TileDB-VCF supports incremental sample addition, allowing you to ingest new single-sample VCFs into an existing dataset without reprocessing previous data.

How do I export queried genomic variant data for downstream bioinformatics analysis?

Exporting queried genomic variant data is supported in VCF and TSV formats. After performing region-based queries across your cohort, you can export the results directly for use in downstream bioinformatics pipelines.