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Related Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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The Rat Genome Database, update 2007--easing the path from disease to data and back again.

Simon N Twigger1, Mary Shimoyama, Susan Bromberg

  • 1Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA. simont@mcw.edu

Nucleic Acids Research
|December 8, 2006
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Summary

The Rat Genome Database (RGD) enhances disease research by curating rat, mouse, and human genetic data. This expansion supports neurological and cardiovascular studies, improving biological information and user accessibility.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Disease Modeling

Background:

  • The Rat Genome Database (RGD) is a key resource for rat genomics.
  • Recent efforts focus on supporting disease-based research using rat models.

Purpose of the Study:

  • To expand RGD's capabilities for disease research by curating genes, QTL, and strain data.
  • To create cross-species disease portals for rat, mouse, and human data.
  • To enhance database content and community outreach.

Main Methods:

  • Targeted curation of genes, QTL, and strain data for neurological and cardiovascular diseases.
  • Integration of rat, mouse, and human data into 'disease portals'.
  • Expansion of biological information, including ontology annotations.

Main Results:

  • Significant increase in database content, especially biological information (gene ontology, disease, pathway, phenotype).
  • Development of unified 'disease portals' for cross-species comparison.
  • Enhanced community outreach and user support for research leveraging RGD resources.

Conclusions:

  • RGD has significantly improved its support for disease-based research through targeted curation and data integration.
  • The database expansion facilitates cross-species research and provides richer biological annotations.
  • Community engagement efforts aim to maximize researcher utilization of RGD tools and data.