International Mammalian Genome Society

17th International Mouse Genome Conference

9-12 November 2003, Braunschweig, Germany


Ringwald M
The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA

Co-Authors: Begley D A, McCright I J, Finger J H, Hayamizu T F, Hill D P, Smith C M, Beal J S, Corbani L E, Blake J A, Eppig JT, Kadin J A, Richardson J E
Institutions: The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA

The Gene Expression Database (GXD) collects and integrates different types of gene expression data from the laboratory mouse, and thus provides information about expression profiles of transcripts and proteins in different mouse strains and mutants. Integration with the other Mouse Genome Informatics Databases enables a combined analysis of genotype, sequence, expression, and phenotype data. Participation in the Gene Ontology project provides standardized search terms to query for genes involved with specific molecular functions, biological processes and cellular components. Extensive interconnections with other databases place the expression information in the larger biological and analytical context. During the last year, we have increased the utility of GXD by refining query and display interfaces and by making new data available on a daily basis. Further, we have developed an extensive anatomical dictionary for the adult mouse that organizes anatomical structures spatially and functionally. The dictionary will be used to describe expression data for the adult mouse and phenotype data pertinent to anatomy in standardized ways. The Gene Expression Notebook (GEN) is a user-friendly and customizable tool to organize expression data in the laboratory. GEN stores results and images, as well as reagent and specimen information, and it allows researchers to select specific sets of expression data for electronic submission to GXD. GEN is freely available for download at GXD is accessible through the Mouse Genome Informatics web site at GXD is supported by NIH grant HD33745. The Gene Ontology project is supported by NIH grant HG02273.

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