tiledbvcf

Store and retrieve genomic variant data in TileDB-VCF format.

Updated Jul 1, 2026
One-click install
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill tiledbvcf-jasrajtulsi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiledbvcf
Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/tiledbvcf
Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill tiledbvcf-jasrajtulsi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you store, query, and export large genomic variant datasets efficiently, avoiding slow merges and cumbersome file-based workflows when working with many samples or repeated region-level analyses.

Core Features & Use Cases

  • Scalable ingestion: Load single-sample VCF or BCF files into a TileDB-backed dataset and add new samples incrementally.
  • Fast region queries: Retrieve variants by chromosome region, sample list, or selected attributes for cohort analysis and downstream filtering.
  • Interoperable export: Export subsets back to VCF, BCF, or tabular outputs for sharing, QC, and integration with other genomics tools.
  • Use case: A researcher can build a population genomics dataset, query variants across specific loci for a subset of samples, and export the results for association testing.

Quick Start

Use this Skill to ingest your variant files into a TileDB-VCF dataset, query the regions you care about, and export the resulting subset for analysis.

Frequently Asked Questions about tiledbvcf

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

FAQPage Schema
How do I query genomic variants across specific chromosome regions for a large cohort?

You can query genomic variants at scale by ingesting single-sample VCF or BCF files into a TileDB-VCF dataset, allowing coordinate-aware retrieval by chromosome region and sample list for cohort analysis.

What is the best way to store and query multiple VCF files without slow merges?

Storing VCF files in a TileDB-VCF dataset avoids slow merges by enabling incremental sample ingestion and parallel access, allowing fast regional variant queries directly on the stored array.

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

Yes, TileDB-VCF supports incremental dataset updates, allowing you to add new single-sample indexed VCF or BCF files to an existing population genomics dataset without reprocessing the entire cohort.

Does this Skill support exporting queried variant subsets back to VCF or BCF formats?

Yes, TileDB-VCF supports interoperable export workflows, allowing you to export queried variant subsets back to VCF, BCF, or tabular outputs for QC and integration with other genomics tools.

Do I need indexed VCF files to perform region queries on population genomic data?

Yes, TileDB-VCF requires single-sample indexed VCF or BCF inputs to perform coordinate-aware querying and support parallel access during cohort-scale analysis.

When should I use a TileDB-VCF dataset instead of standard file-based variant workflows?

Use TileDB-VCF when working with many samples or repeated region-level analyses in population genomics, as it replaces cumbersome file-based workflows with efficient storage and parallel access.