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Mouse Informatics

Revised November 2015

  • Mouse Genome Informatics
    Information on mouse genetic markers, molecular segments, phenotypes, comparative mapping data, experimental mapping data, and graphical displays for genetic, physical, and cytogenetic maps (Opens in a new browser window.)
  • Mouse Genome Informatics Gene Expression Database
    Information on mouse gene expression during development including mouse cDNA data (I.M.A.G.E. clones and ESTs) and RT-PCR, RNA, in situ hybridization, immunohistochemistry, Northern and Western blot data. Also includes a searchable index of related research reports.
  • Mouse Phenome Database
    An information repository for protocols and raw data related to the phenotypic characteristics of commonly used and genetically diverse inbred mouse strains. Current project information including opportunities for community participation in this coordinated international effort.
  • Mouse Tumor Biology Database
    Information resource relevant to using mouse models in cancer research including tumor names and classifications, tumor incidence and latency data, tumor pathology reports and images, genetic factors, and references.
  • Hereditary Hearing Impairment in Mice
    Information resource on mouse models for hearing research and hearing disorders
  • International Mouse Strain Resources
    Searchable list of strains available at The Jackson Laboratory and the MRC Genetics Unit at Harwell , England
  • Lane List of Named Mutations & Polymorphic Loci
    Spontaneous mutations available at The Jackson laboratory and their genetic backgrounds
  • Mouse Nomenclature Rules and Guidelines
    Standardized nomenclature for mouse genes, strains and chromosome aberrations
  • Gene Network
    WebQTL is an unique World Wide Web service that makes it possible for neurogeneticists to rapidly identify and map genes and quantitative trait loci (QTL), particularly those related to brain structure and behavior. WebQTL allows rapid QTL mapping of CNS traits for major recombinant inbred (RI) sets, for shared intercrosses and backcrosses, and particularly for a very large advanced intercross population (the G 10 ). Neurogeneticists can feed the trait data they generated directly into the WebQTL's biostatistics and gene mapping module through the web interface

This page was last updated November 2015