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GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database
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 [Da...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808878/ https://www.ncbi.nlm.nih.gov/pubmed/19850722 http://dx.doi.org/10.1093/nar/gkp832 |
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author | Schriml, Lynn M. Arze, Cesar Nadendla, Suvarna Ganapathy, Anu Felix, Victor Mahurkar, Anup Phillippy, Katherine Gussman, Aaron Angiuoli, Sam Ghedin, Elodie White, Owen Hall, Neil |
author_facet | Schriml, Lynn M. Arze, Cesar Nadendla, Suvarna Ganapathy, Anu Felix, Victor Mahurkar, Anup Phillippy, Katherine Gussman, Aaron Angiuoli, Sam Ghedin, Elodie White, Owen Hall, Neil |
author_sort | Schriml, Lynn M. |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2808878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28088782010-01-20 GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database Schriml, Lynn M. Arze, Cesar Nadendla, Suvarna Ganapathy, Anu Felix, Victor Mahurkar, Anup Phillippy, Katherine Gussman, Aaron Angiuoli, Sam Ghedin, Elodie White, Owen Hall, Neil Nucleic Acids Res Articles 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. Oxford University Press 2010-01 2009-10-22 /pmc/articles/PMC2808878/ /pubmed/19850722 http://dx.doi.org/10.1093/nar/gkp832 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Schriml, Lynn M. Arze, Cesar Nadendla, Suvarna Ganapathy, Anu Felix, Victor Mahurkar, Anup Phillippy, Katherine Gussman, Aaron Angiuoli, Sam Ghedin, Elodie White, Owen Hall, Neil GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database |
title | GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database |
title_full | GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database |
title_fullStr | GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database |
title_full_unstemmed | GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database |
title_short | GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database |
title_sort | gemina, genomic metadata for infectious agents, a geospatial surveillance pathogen database |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808878/ https://www.ncbi.nlm.nih.gov/pubmed/19850722 http://dx.doi.org/10.1093/nar/gkp832 |
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