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Mike Cherry
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Professional Education
| Ph.D.: | University of California, Molecular Biology (1985) |
| B.S.: | Purdue University, Biochemistry (1979) |
| B.S.: | Purdue University, Biological Sciences (1979) |
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Research Interests
Dr. Cherry's lab develops and maintains the Saccharomyces Genome Database (SGD; www.yeastgenome.org). This NIH National Genome Research Resource Center, a public Web resource, provides information and tools on budding yeast genome, its products and their interactions. His group is ever expanding SGD to capture the new results from functional genomics, the systematic study of the processes that occur within this organism, and the results of published classical genetics plus molecular and cellular biology. The genomic sequence, functional genomic and published literature information is combined in a meaningful manner that allow biologist to explore this encyclopedic database. SGD allows four primary methods of entry for browsing. These entry points allow users to select a gene knowing its name, DNA or protein sequence, literature keywords, or its role/function within the cell. In addition, several computational tools have been developed to provide to allow the research community to explore the collected data sets. Tools for querying >50,000 full-text papers are also provided. SGD has become an essential research tool used daily by thousands of researchers around the globe.
The second area of research is in the creation of ontologies to aid communication between biologists as well as biological database projects. His group is a founding member of the Gene Ontology (GO) Collaboration. The GO project, originally conceived by Prof. Michael Ashburner at the University of Cambridge, is a collaboration between many genome databases including: FlyBase (Drosophila), Mouse Genome Informatics (Mus), The Arabidopsis Information Resource (Arabidopsis), WormBase (Caenorhabditis), ZFin (Danio), Rat Genome Database (Rattus), dictyBase (Dictyostilium), PomBase (Schizosaccharomyces), and SGD (Saccharomyces). There are many hierarchical classification systems for protein function, protein secondary structure and protein families. These classifications are very useful,...
Publications
- Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns. Trends Microbiol. 2009; (7): 286-94
- Saccharomyces Genome Database provides mutant phenotype data. Nucleic Acids Res. 2009
- The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species. PLoS Comput Biol. 2009; (7): e1000431
- Gene Ontology annotations at SGD: new data sources and annotation methods. Nucleic Acids Res. 2008; (Database issue): D577-81
- Mining experimental evidence of molecular function claims from the literature. Bioinformatics. 2007; (23): 3232-40
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