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Updated: Apr 6, 2026

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
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Orthology for comparative genomics in the mouse genome database
Mary E Dolan1, Richard M Baldarelli, Susan M Bello
1The Jackson Laboratory, Bar Harbor, ME, 04609, USA, mary.dolan@jax.org.
Summary
The Mouse Genome Database (MGD) enhances comparative genomics by detailing human-mouse orthology. This resource supports using mice to study human health and disease, refining orthology representation over 25 years.
Area of Science:
- Comparative genomics
- Bioinformatics
- Genomics
Background:
- The Mouse Genome Database (MGD) is a key resource for the laboratory mouse.
- It facilitates the use of mice in studying human health and disease.
- Comparative genomics, particularly human-mouse orthology, has been integral to MGD since its inception.
Purpose of the Study:
- To describe current comparative genomics data within MGD.
- To review the historical development and refinement of orthology representation in MGD.
- To highlight the extended use of orthology data in modeling human biology using mice.
Main Methods:
- Inclusion of comparative genomics data, focusing on human-mouse orthology.
- Development and application of novel algorithms for ortholog identification.
- Integration of orthologs from additional model organisms.
- Refinement of orthology representation within the MGD resource.
Main Results:
- MGD has enriched its comparative genomics data over 25 years.
- Novel algorithms and expanded ortholog data have improved MGD's utility.
- Orthology data in MGD now better supports the use of mice as models for human biology.
- The resource provides a comprehensive view of current comparative data and historical refinements.
Conclusions:
- MGD is a vital international data resource for the laboratory mouse.
- The continuous refinement of comparative genomics and orthology data enhances the mouse model's utility for human disease research.
- MGD's evolution demonstrates its commitment to advancing biological research through robust data integration and analysis.
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