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Updated: May 15, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Exploring genetic, genomic, and phenotypic data at the rat genome database.

Stanley J F Laulederkind¹, G Thomas Hayman¹, Shur-Jen Wang¹

¹Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin.

Current Protocols in Bioinformatics

|December 21, 2012

Summary

The Rat Genome Database (RGD) offers curated data on rat genes, diseases, and traits. This resource aids researchers in understanding rat biology and its relevance to human health.

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Area of Science:

* Comparative genomics and bioinformatics.
* Mammalian genetics and disease modeling.

Background:

* The laboratory rat (Rattus norvegicus) is a crucial animal model for human health and disease research.
* Experimental findings in rats have significant implications for human physiology and pathology.

Purpose of the Study:

* To provide an overview of the Rat Genome Database (RGD).
* To demonstrate how to utilize RGD for exploring functional data in rats.
* To highlight the relevance of rat research to human biology.

Main Methods:

* Description of the Rat Genome Database (RGD) as a model organism database.
* Explanation of data types available: disease associations, phenotypes, pathways, molecular functions, biological processes, and cellular components.
* Inclusion of examples for practical user experience.

Main Results:

* RGD provides comprehensive, curated data for genes, quantitative trait loci, and strains.
* The database facilitates access to a wide array of functional information about the rat.
* User-friendly examples are provided to guide data exploration.

Conclusions:

* The Rat Genome Database (RGD) is an invaluable resource for researchers studying rat biology.
* Leveraging RGD enhances the understanding of rat models in human disease research.
* The database supports advancements in functional genomics and translational medicine.