RGD - Rat Genome Database - The Rat Genome Database houses genomic, genetic, functional, physiological, pathway and disease data for the laboratory rat as well as comparative data for mouse and human. The site also hosts data mining and analysis tools for rat genomics and physiology.

  • Analysis & Visualization - Rat Genome Database - RGD provides a variety of tools to search and analyze both the data within RGD and data generated from rat research in the lab. The list below identifies the major tools provided at RGD.
  • RGD Disease Portals - Rat Genome Database - RGD disease portals are designed to be entry points for researchers to access data and tools related to their area of interest.
  • Phenotypes & Models - Rat Genome Database - Welcome to the Phenotypes & Models Portal within RGD. This portal contains data related to rat strains and phenotypes, as well as essential information for conducting physiological research, identifying disease models, and community forums for gathering feedback from the scientific community.
  • Search RGD - Rat Genome Database - he RGD site search allows users to find objects in RGD based on keyword or position information. Over 8.5 million terms have been ranked and indexed to return Genes, QTLs, Strains, Markers, References, and Ontology terms.
  • Grant Resources - Rat Genome Database - More rat-related grants are good news for all of us so we're assembling some information and other resources that might be of help as you plan and write your grants. This is certainly a work in progress so please feel free to contact us with more suggestions and requests for ways in which RGD can help you in your grant writing.
  • About RGD - Rat Genome Database - The Rat Genome Database is a collaborative effort between leading research institutions involved in rat genetic and genomic research. Its goal, as stated in RFA: HL-99-013 is the establishment of a Rat Genome Database, to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community. A secondary, but critical goal is to provide curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data.

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