tiledbvcf

Store and query genomic variant data from indexed VCF or BCF files.

74|5|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/dralkh/seerai --skill tiledbvcf-dralkh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiledbvcf
Source: https://github.com/dralkh/seerai/tree/main/skills/tiledbvcf
Command: npx skills add https://github.com/dralkh/seerai --skill tiledbvcf-dralkh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TileDB-VCF solves the problem of storing, querying, and exporting large genomic variant datasets efficiently without repeatedly merging bulky VCF files or sacrificing query performance. It is designed for researchers who need fast access to cohort-scale variant data across regions, samples, and annotations.

Core Features & Use Cases

  • Scalable ingestion: Build datasets from single-sample VCF or BCF files and add new samples incrementally.
  • Fast querying: Retrieve variants by genomic region, sample set, or selected attributes with parallel performance.
  • Export and interoperability: Export subsets back to VCF or other analysis-friendly outputs for downstream tools.
  • Use cases: Population genomics, cohort analysis, rare variant filtering, quality control, and review of cloud-hosted variant datasets.

Quick Start

Use the tiledbvcf skill to create a dataset from indexed single-sample VCF files, query a genomic region, and export the matching variants 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 large genomic variant datasets across specific regions without merging VCF files?

TileDB-VCF stores and queries genomic variant data at scale by ingesting single-sample VCF or BCF files, allowing fast parallel region queries without repeatedly merging bulky VCF files.

What is the best way to store population genomics variant data for incremental sample addition?

Storing population genomics variant data in a TileDB-VCF dataset allows incremental sample addition from indexed single-sample VCF or BCF files, enabling cohort scalability without rebuilding the entire dataset.

Does TileDB-VCF work with BCF inputs and cloud storage for cohort analysis?

TileDB-VCF supports indexed single-sample BCF inputs and configurable cloud-storage access, enabling efficient cohort-scale variant queries and analysis on cloud-hosted datasets.

How do I export genomic variants from a queried region back to VCF for downstream analysis?

Export genomic variants by querying a 1-based genomic region and selected attributes, then exporting the matching subset back to VCF or other analysis-friendly outputs for downstream population genomics tools.

What are the input requirements for ingesting variant data into a TileDB-VCF dataset?

Ingesting variant data requires single-sample indexed VCF or BCF files, 1-based genomic regions for querying, and configurable memory or cloud-storage access for efficient population genomics analysis.