The availability of the complete genome sequence for the laboratory
mouse provides a powerful platform for predicting genes and other
genome features. However, building a catalog of genome annotations is
just the beginning for biology in a “post-genome” era. To
derive new insights into fundamental biological processes using complete
genome sequences will require understanding how genome features interact
in pathways and networks in the cell and how perturbations of these
interactions contribute to disease processes. Toward this end, we
have implemented a new database of curated biochemical pathways for the
laboratory mouse called MouseCyc.
The MouseCyc database represents a significant advance for biomedical
researchers wanting to access mouse genetic and genomic data in the
context of physiological and cellular processes. The initial focus for
the development of MouseCyc is on metabolism and includes such cell level
processes as biosynthesis, degradation, energy production, and
detoxification. MouseCyc differs from existing pathway databases and
software tools because of the extent to which the pathway information
in MouseCyc is integrated with the wealth of biological knowledge for
the laboratory mouse that is available from the Mouse Genome Informatics
(MGI) database.
MouseCyc is supported by NIH HG003622.
- Personnel:
- Carol J. Bult, Ph.D., Principal Investigator
- Alexei Evsikov, Ph.D., Research Scientist/Scientific Curator
- Mary Dolan, Ph.D., Bioinformatics Analyst
- Past personnel:
- Emily Patek, Graduate Student
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