jgi-lakehouse

Query JGI GOLD and IMG genomic metadata via the Dremio Lakehouse using SQL.

44|13|Updated Nov 15, 2025
One-click install
npx skills add https://github.com/openscientist-io/openscientist --skill jgi-lakehouse-openscientist-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jgi-lakehouse
Source: https://github.com/openscientist-io/openscientist/tree/main/skills/domain/berkeley-data-lakehouse/jgi-lakehouse
Command: npx skills add https://github.com/openscientist-io/openscientist --skill jgi-lakehouse-openscientist-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly access and analyze JGI GOLD and IMG genomics metadata by querying the JGI Dremio Lakehouse, eliminating manual lookups and data wrangling.

Core Features & Use Cases

  • GOLD/IMG access: Query the GOLD and IMG databases directly from the Lakehouse to retrieve genome metadata and project summaries.
  • SQL-driven analytics: Run SQL queries to join, filter, and summarize genomics data for reproducible analyses.
  • Use Case: A genomics researcher needs to fetch all studies for a specified ecosystem and export results for a meta-analysis.

Quick Start

Install required Python packages, configure Dremio Lakehouse credentials, and run the jgi-lakehouse CLI to connect and execute queries.

Frequently Asked Questions about jgi-lakehouse

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

FAQPage Schema
How do I query JGI GOLD and IMG genomics metadata using SQL?

You can query JGI GOLD and IMG genomics metadata by connecting to the Dremio Lakehouse via a CLI, running SQL queries to filter and join datasets, and retrieving structured results for genomic research workflows.

What is the best way to access JGI genome project summaries from a lakehouse?

Accessing JGI genome project summaries from a lakehouse involves connecting to the Dremio platform to run SQL queries directly on GOLD and IMG databases, eliminating manual lookups and streamlining data retrieval.

Do I need Dremio Lakehouse credentials to retrieve IMG database ecosystems?

Yes, you need Dremio Lakehouse credentials to establish a CLI connection, authenticate your session, and execute SQL queries to retrieve specific IMG database ecosystems or genome metadata.

Can I run SQL-driven analytics on JGI genomics data for a meta-analysis?

Yes, you can run SQL-driven analytics on JGI genomics data by joining, filtering, and summarizing metadata to support reproducible analyses, such as fetching all studies for a specified ecosystem to export for a meta-analysis.

How do I set up the CLI to connect to the JGI Dremio Lakehouse?

To set up the CLI connection to the JGI Dremio Lakehouse, install the required Python packages, configure your Dremio credentials, and execute the CLI to authenticate and start querying GOLD and IMG databases.

What are the limitations of using a lakehouse for genomics data retrieval?

Using a lakehouse for genomics data retrieval requires SQL knowledge and proper Dremio credential configuration, meaning users must understand schema structures to effectively query and join complex GOLD and IMG datasets.