MChip, a low density microarray, differentiates among seasonal human H1N1, North American swine H1N1, and the 2009 pandemic H1N1
| Autor: | Troy A. McCarthy, Erica D. Dawson, Kyoung-Jin Yoon, Kathy L. Rowlen, Gary L. Heil, Gregory C. Gray, Catherine B. Smith, Julie A. Houck, Siyuan Liu, Magdi D. Saad |
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| Rok vydání: | 2010 |
| Předmět: |
Pulmonary and Respiratory Medicine
0303 health sciences Genetic diversity Microarray 030306 microbiology Epidemiology viruses Public Health Environmental and Occupational Health virus diseases Biology medicine.disease_cause Virology respiratory tract diseases 3. Good health 03 medical and health sciences mChip Infectious Diseases Genetic variation Pandemic Low density Influenza A virus medicine Gene 030304 developmental biology |
| Zdroj: | Influenza and Other Respiratory Viruses. 4:411-416 |
| ISSN: | 1750-2640 |
| DOI: | 10.1111/j.1750-2659.2010.00185.x |
| Popis: | Please cite this paper as: Heil et al. (2010) MChip, a low density microarray, differentiates among seasonal human H1N1, North American swine H1N1, and the 2009 pandemic H1N1. Influenza and Other Respiratory Viruses 4(6), 411–416. Background The MChip uses data from the hybridization of amplified viral RNA to 15 distinct oligonucleotides that target the influenza A matrix (M) gene segment. An artificial neural network (ANN) automates the interpretation of subtle differences in fluorescence intensity patterns from the microarray. The complete process from clinical specimen to identification including amplification of viral RNA can be completed in |
| Databáze: | OpenAIRE |
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