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The Rat Genome Database 2015: Genomic, phenotypic and environmental variations and disease

Nucleic Acids Research, ISSN: 1362-4962, Vol: 43, Issue: D1, Page: D743-D750
2015
  • 174
    Citations
  • 0
    Usage
  • 96
    Captures
  • 5
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    174
    • Citation Indexes
      172
    • Clinical Citations
      1
      • PubMed Guidelines
        1
    • Policy Citations
      1
      • Policy Citation
        1
  • Captures
    96
  • Mentions
    5
    • References
      3
      • Wikipedia
        3
    • Blog Mentions
      2
      • Blog
        2

Article Description

The RatGenome Database (RGD, http://rgd.mcw.edu) provides the most comprehensive data repository and informatics platform related to the laboratory rat, one of the most important model organisms for disease studies. RGD maintains and updates datasets for genomic elements such as genes, transcripts and increasingly in recent years, sequence variations, as well as map positions for multiple assemblies and sequence information. Functional annotations for genomic elements are curated from published literature, submitted by researchers and integrated from other public resources. Complementing the genomic data catalogs are those associated with phenotypes and disease, including strains, QTL and experimental phenotype measurements across hundreds of strains. Data are submitted by researchers, acquired through bulk data pipelines or curated from published literature. Innovative software tools provide users with an integrated platform to query, mine, display and analyze valuable genomic and phenomic datasets for discovery and enhancement of their own research. This update highlights recent developments that reflect an increasing focus on: (i) genomic variation, (ii) phenotypes and diseases, (iii) data related to the environment and experimental conditions and (iv) datasets and software tools that allow the user to explore and analyze the interactions among these and their impact on disease.

Bibliographic Details

Shimoyama, Mary; De Pons, Jeff; Hayman, G Thomas; Laulederkind, Stanley J F; Liu, Weisong; Nigam, Rajni; Petri, Victoria; Smith, Jennifer R; Tutaj, Marek; Wang, Shur-Jen; Worthey, Elizabeth; Dwinell, Melinda; Jacob, Howard

Oxford University Press (OUP)

Biochemistry, Genetics and Molecular Biology

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