International Mammalian Genome Society

The 16th International Mouse Genome Conference (2002)


Oral Presentation

Sunday 17 November

16:15 - 16:30 HRS

MAPPING BIOLOGY TO THE MOUSE GENOME

C Bult
The Jackson Laboratory

Co-Authors: Eppig J, Ringwald M, Blake J, Richardson J, Kadin J, Mouse Genome Informatics Curation and Software Teams
Institutions: The Jackson Laboratory

The release of the publicly accessible genome sequence for the C57BL/6J strain of laboratory mouse represents a significant landmark in genome biology. The mouse stands as one of the premier model organism for understanding human biology and disease processes. The availability of high quality, well-annotated genome sequence data for both mouse and human will serve as platforms on which biological research will be based for decades to come. Key to using the mouse genome sequence effectively will be how well the genes and other features identified in the genome sequence are integrated with the rich biological information about the laboratory mouse represented in well-curated knowledgebases such as the Mouse Genome Informatics (MGI) database (http://www.informatics.jax.org). Indeed, model organism databases have a unique role to play in connecting sequence and biology and with the long-term curation of these connections.The MGI database provides extensive information about mouse genes, alleles and phenotypes, Quantitative Trait Loci (QTL), strain polymorphisms, functional annotations using the Gene Ontology vocabularies, developmental gene expression patterns, and curated mammalian homology (especially for rat and human) data. I will describe the data integration process we use to add biological context to the annotated mouse genome sequence. I will also present the results of our efforts to convert data from MGI into formats that can be displayed graphically as “tracks” in various existing genome browsers and how our mapping of Quantitative Trait Loci onto the mouse genome sequence can facilitate positional candidate analysis for genes associated with complex phenotypes


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