GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database. Nucleic acids research [Nucleic Acids Res] Journal article | | Title | GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database. | | Author(s) | Schriml LM, Arze C, Nadendla S, Ganapathy A, Felix V, Mahurkar A, Phillippy K, Gussman A, Angiuoli S, Ghedin E, White O, Hall N | | Institution | Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, National Center for Biotechnology Information, Bethesda, MD, University of Pittsburgh School of Medicine, Division of Infectious Diseases, Pittsburgh, PA, USA and University of Liverpool, School of Biological Sciences, UK. | | Source | Nucleic Acids Res 2009 Oct 22. | | Abstract | The Gemina system (http://gemina.igs.umaryland.edu) identifies, standardizes and integrates the outbreak metadata for the breadth of NIAID category A-C viral and bacterial pathogens, thereby providing an investigative and surveillance tool describing the Who [Host], What [Disease, Symptom], When [Date], Where [Location] and How [Pathogen, Environmental Source, Reservoir, Transmission Method] for each pathogen. The Gemina database will provide a greater understanding of the interactions of viral and bacterial pathogens with their hosts and infectious diseases through in-depth literature text-mining, integrated outbreak metadata, outbreak surveillance tools, extensive ontology development, metadata curation and representative genomic sequence identification and standards development. The Gemina web interface provides metadata selection and retrieval of a pathogen's; Infection Systems (Pathogen, Host, Disease, Transmission Method and Anatomy) and Incidents (Location and Date) along with a hosts Age and Gender. The Gemina system provides an integrated investigative and geospatial surveillance system connecting pathogens, pathogen products and disease anchored on the taxonomic ID of the pathogen and host to identify the breadth of hosts and diseases known for these pathogens, to identify the extent of outbreak locations, and to identify unique genomic regions with the DNA Signature Insignia Detection Tool. | | Language | ENG | | Pub Type(s) | JOURNAL ARTICLE
| | PubMed ID | 19850722 |
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