AgBase: A Resource for Agricultural Genomics
Author Information
Author(s): Fiona M McCarthy, Nan Wang, G Bryce Magee, Bindu Nanduri, Mark L Lawrence, Evelyn B Camon, Daniel G Barrell, David P Hill, Mary E Dolan, W Paul Williams, Dawn S Luthe, Susan M Bridges, Shane C Burgess
Primary Institution: Mississippi State University
Hypothesis
The establishment of AgBase will facilitate systems biology in agricultural species by providing a curated resource for genomic annotation.
Conclusion
AgBase is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens.
Supporting Evidence
- AgBase provides a suite of computational tools for gene annotation.
- The database is publicly accessible and encourages contributions from researchers.
- AgBase has improved the structural annotation of genomes by experimentally confirming predicted proteins.
Takeaway
AgBase helps scientists understand the genes of important farm animals and plants by providing tools and information about their genomes.
Methodology
AgBase integrates structural and functional annotations and provides tools for modeling microarray and other functional genomics data.
Limitations
The agricultural genome sequences have relatively poor structural and functional annotation compared to model organisms.
Digital Object Identifier (DOI)
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