scientific-model-organism-db

Unify gene and phenotype data from five model organism databases.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-model-organism-db
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-model-organism-db
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-model-organism-db
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-model-organism-db

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? This Skill provides a unified cross-species search workflow across FlyBase, WormBase, ZFIN, RGD, and MGI for gene, phenotype, and disease-model data, enabling researchers to explore orthologs and cross-species similarities in a single view.

## Core Features & Use Cases

  • Cross-species ortholog search across five model organisms (mouse, rat, zebrafish, fruit fly, worm).
  • Integrated gene and phenotype data to support comparative biology and translational research.
  • Use Case: Compare human disease-associated genes with their model-organism orthologs to identify potential model systems and functional conservation.

Quick Start

Query a human gene to retrieve top model-organism orthologs and associated phenotypes across FlyBase, WormBase, ZFIN, RGD, and MGI.

Frequently Asked Questions about scientific-model-organism-db

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

FAQPage Schema
How do I search for cross-species orthologs across multiple model organism databases?

Cross-species ortholog search unifies gene and phenotype data from FlyBase, WormBase, ZFIN, RGD, and MGI. You query a human gene to retrieve top model-organism orthologs and associated phenotypes in a single consolidated view for comparative analysis.

Can I compare human disease-associated genes with model organism phenotypes?

Comparing human disease-associated genes with model organism phenotypes is supported through integrated cross-species data. This workflow identifies potential model systems and assesses functional conservation across mouse, rat, zebrafish, fruit fly, and worm.

What is the best way to normalize identifiers from different model organism databases?

Normalizing identifiers from model organism databases involves loading REST API results and mapping them into a unified format. This process consolidates cross-species gene and phenotype records for consistent downstream functional genomics analysis.

Does this cross-species search workflow support translational research tasks?

The cross-species search workflow supports translational research by enabling ortholog mapping and phenotype comparison across five model organisms. It assesses human disease relevance through a consolidated cross-species view of functional genomics data.

Can I retrieve REST API results from FlyBase, WormBase, ZFIN, RGD, and MGI in one search?

Retrieving REST API results from FlyBase, WormBase, ZFIN, RGD, and MGI in one search is the core mechanism. The workflow loads data from each database, normalizes identifiers, and presents a single discovery view for cross-species analysis.