Skip to main content
Log in

Visualizing the Laboratory Mouse: Capturing Phenotype Information

  • Published:
Genetica Aims and scope Submit manuscript

Abstract

A concerted effort to develop myriad new phenotypic alleles through mutagenesis programs presents new challenges for the biomedical community and for the informatics infrastructure needed to support this work. To handle and co-ordinate large programs of treatment, breeding, and sequential or longitudinal testing for a variety of obvious and subtle traits requires sophisticated data management software. Further, trait analyses, heritability testing, and animal availability and status must be captured and disseminated to the wider community. The Mouse Genome Database (MGD) will serve as the central integration point for the various mutagenesis programs, registering new alleles, providing accession identifiers, and capturing phenotypic descriptions. In addition, MGD will provide public access to unified searches over all alleles with links to the centres of origin for detailed testing data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ashburner, M., C. A. Ball, J. A. Blake, D. Botstein, H. Butler, J. M. Cherry, A. P. Davis, K. Dolinski, S. S. Dwight, J. T. Eppig, M. A. Harris, C. P. Hill, L. Issel-Tarver, A. Kasars-kis, S. Lewis, J. C. Matese, J. E. Richardson, M. Ringwald, G. M. Rubin & G. Sherlock, 2000. Gene Ontology: tool for the uni cation of biology. Nat. Genet. 25: 25–29.

    PubMed  Google Scholar 

  • Blake, J. A. & M. Harris, 2003. The Gene Ontology Project: Structured vocabularies for molecular biology and their application to genome and expression analysis, in Current Protocols in Bioinformatics, edited by A. D. Baxevanis, D. B. Davison, R. Page, G. Stormo & L. Stein, Wiley & Sons, Inc., New York.

    Google Scholar 

  • Bult, C. J., J. A. Blake, J. E. Richardson, J. A. Kadin, J. T. Eppig & the Mouse Genome Database Group, 2004. The Mouse Genome Database (MGD): integrating biology with the genome. Nucl. Acids Res. 32: D476–D481.

    Google Scholar 

  • Davidson, D., J. Bard, M. Kaufman & R. A. Baldock, 2001. The Mouse Atlas Database: a community resource for mouse development, Trends Genet. 17: 49–51.

    Google Scholar 

  • Eppig, J. T., 2000. Algorithms for mutant sorting: the need for phenotype vocabularies. Mamm. Genome 11: 584–589.

    PubMed  Google Scholar 

  • Eppig, J. T. & M. Strivens, 1999. Finding a mouse: The International Mouse Strain Resource (IMSR). Trends Genet. 15: 81–82.

    PubMed  Google Scholar 

  • Pargent, W., S. Heffner, K. F. Schable, D. Soewarto, H. Fuchs & M. Hrabe de Angelis, 2000. MouseNet database: digital management of a large-scale mutagenesis project. Mamm. Genome 11: 590–593.

    PubMed  Google Scholar 

  • Ringwald, M., J. T. Eppig & J. E. Richardson, 2000. GXD: integrated access to gene expression data for the laboratory mouse. Trends Genet. 16: 188–190.

    PubMed  Google Scholar 

  • Strivens, M. A., R. L. Selley, S. J. Greenaway, M. Hewitt, X. Liu, K. Battershill, S. L. McCormack, K. A. Pickford, L. Vizor, P. M. Nolan, A. J. Hunter, J. Peters & S. D. Brown, 2000. Informatics for mutagenesis: the design of mutabase-a distributed data recording system for animal husbandry, mutagenesis, and phenotypic analysis. Mamm. Genome 11: 577–583.

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Strivens, M., Eppig, J.T. Visualizing the Laboratory Mouse: Capturing Phenotype Information. Genetica 122, 89–97 (2004). https://doi.org/10.1007/s10709-004-1435-7

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10709-004-1435-7

Navigation