AgBase: a functional genomics resource for agriculture

被引:226
作者
McCarthy, Fiona M.
Wang, Nan
Magee, G. Bryce
Nanduri, Bindu
Lawrence, Mark L.
Camon, Evelyn B.
Barrell, Daniel G.
Hill, David P.
Dolan, Mary E.
Williams, W. Paul
Luthe, Dawn S.
Bridges, Susan M.
Burgess, Shane C.
机构
[1] Mississippi State Univ, Coll Vet Med, Dept Basic Sci, Mississippi State, MS 39762 USA
[2] Mississippi State Univ, Bagley Coll Engn, Dept Comp Sci & Engn, Mississippi State, MS 39762 USA
[3] European Bioinformat Inst, Cambridge CB10 1SD, England
[4] Jackson Lab, Mouse Genome Informat, Bar Harbor, ME 04609 USA
[5] Mississippi State Univ, USDA ARS, Corn Host Plant Resistance Res Unit, Mississippi State, MS 39762 USA
[6] Mississippi State Univ, Dept Biochem & Mol Biol, Mississippi State, MS 39762 USA
[7] Mississippi State Univ, Inst Digital Biol, Mississippi State, MS 39762 USA
关键词
D O I
10.1186/1471-2164-7-229
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. Moreover, many agricultural microorganisms are human zoonoses. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. Description: To facilitate systems biology in these traditionally agricultural species we have established "AgBase", a curated, web-accessible, public resource http://www.agbase.msstate.edu for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature following the Human Genome Organization Gene Nomenclature guidelines and are currently functionally annotating chicken, cow and sheep gene products using the Gene Ontology ( GO). The computational tools we have developed accept and batch process data derived from different public databases ( with different accession codes), return all existing GO annotations, provide a list of products without GO annotation, identify potential orthologs, model functional genomics data using GO and assist proteomics analysis of ESTs and EST assemblies. Our journal database helps prevent redundant manual GO curation. We encourage and publicly acknowledge GO annotations from researchers and provide a service for researchers interested in GO and analysis of functional genomics data. Conclusion: The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens. We use experimental data to improve structural annotation of genomes and to functionally characterize gene products. AgBase is also directly relevant for researchers in fields as diverse as agricultural production, cancer biology, biopharmaceuticals, human health and evolutionary biology. Moreover, the experimental methods and bioinformatics tools we provide are widely applicable to many other species including model organisms.
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页数:13
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