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Related Concept Videos

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse.

Cynthia L Smith1, Judith A Blake1, James A Kadin1

  • 1The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.

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|November 2, 2017
PubMed
Summary
This summary is machine-generated.

The Mouse Genome Database (MGD) enhances access to mouse genetics, genomics, and disease models. Recent updates improve connections between mouse models and human biology, aiding research.

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Area of Science:

  • Genetics and Genomics
  • Bioinformatics
  • Translational Medicine

Background:

  • The Mouse Genome Database (MGD) is a central resource for mouse genetics and genomics data.
  • It supports research by integrating information on mouse genes, functions, phenotypes, and disease models.
  • There is a growing focus on linking mouse data to human biology and diseases.

Purpose of the Study:

  • To report recent enhancements to the Mouse Genome Database (MGD).
  • To improve access to mouse disease models and human phenotype data.
  • To strengthen the association between mouse models and human diseases.

Main Methods:

  • Data integration from various sources.
  • Development of improved data access interfaces.
  • Enhancement of relational data structures linking mouse and human information.

Main Results:

  • Improved accessibility of mouse disease model data.
  • Enhanced human phenotype data integration.
  • Strengthened linkages between mouse models and human disease.

Conclusions:

  • Recent MGD enhancements facilitate research by improving access to critical data.
  • The updated resource strengthens the utility of mouse models for studying human diseases.
  • These improvements support basic, translational, and computational research.