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- Scopus: eid_2-s2.0-34247574837
- PMID: 17494602
- WOS: WOS:000245474100058
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Conference Paper: Computational identification of reassortments in avian influenza viruses
Title | Computational identification of reassortments in avian influenza viruses |
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Authors | |
Keywords | Avian influenza virus Composition vector Genetic reassortment Genotyping H5N1 Influenza reassortment Phylogenetic analysis |
Issue Date | 2007 |
Publisher | American Association of Avian Pathologists, Inc. The Journal's web site is located at http://avdi.allenpress.com/avdionline/?request=index-html |
Citation | The 6th International Symposium on Avian Influenza, Cambridge, UK., 3-6 April 2006. United Kingdom. In Avian Diseases, 2007, v. 51 suppl. 1, p. 434-439 How to Cite? |
Abstract | The avian influenza virus (AIV) has eight genomic segments (hemagglutinin [HA], neuraminidase [NA], RNA polymerase subunit A [PA], RNA polymerase subunit B1 [PB1], RNA polymerase subunit B2 [PB2], nucleoprotein [NP], nonstructural gene [NS], and matrix protein [M]). The genetic reassortments, recombinations, and mutations lead to a rapid emergence of novel genotypes of the AIVs during their evolution. These emerging viruses provide a large reservoir for pandemic strains. Here we describe a novel computational strategy for genetic reassortment identification. In contrast to the traditional phylogenetic approaches, our method views the genotypes through the modules in networks. Genetic segments with short phylogenetic distance are grouped into modules. Our method is not limited to the number of sequences. We applied this method in reassortment identification of NP segments in H5N1 AIVs. We identified two new potential reassortments for H5N, AIVs beyond the reported genotypes in literature. |
Persistent Identifier | http://hdl.handle.net/10722/179847 |
ISSN | 2023 Impact Factor: 1.3 2023 SCImago Journal Rankings: 0.367 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wan, XF | en_US |
dc.contributor.author | Wu, X | en_US |
dc.contributor.author | Lin, G | en_US |
dc.contributor.author | Holton, SB | en_US |
dc.contributor.author | Desmone, RA | en_US |
dc.contributor.author | Shyu, CR | en_US |
dc.contributor.author | Guan, Y | en_US |
dc.contributor.author | Emch, ME | en_US |
dc.date.accessioned | 2012-12-19T10:06:04Z | - |
dc.date.available | 2012-12-19T10:06:04Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | The 6th International Symposium on Avian Influenza, Cambridge, UK., 3-6 April 2006. United Kingdom. In Avian Diseases, 2007, v. 51 suppl. 1, p. 434-439 | en_US |
dc.identifier.issn | 0005-2086 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/179847 | - |
dc.description.abstract | The avian influenza virus (AIV) has eight genomic segments (hemagglutinin [HA], neuraminidase [NA], RNA polymerase subunit A [PA], RNA polymerase subunit B1 [PB1], RNA polymerase subunit B2 [PB2], nucleoprotein [NP], nonstructural gene [NS], and matrix protein [M]). The genetic reassortments, recombinations, and mutations lead to a rapid emergence of novel genotypes of the AIVs during their evolution. These emerging viruses provide a large reservoir for pandemic strains. Here we describe a novel computational strategy for genetic reassortment identification. In contrast to the traditional phylogenetic approaches, our method views the genotypes through the modules in networks. Genetic segments with short phylogenetic distance are grouped into modules. Our method is not limited to the number of sequences. We applied this method in reassortment identification of NP segments in H5N1 AIVs. We identified two new potential reassortments for H5N, AIVs beyond the reported genotypes in literature. | en_US |
dc.language | eng | en_US |
dc.publisher | American Association of Avian Pathologists, Inc. The Journal's web site is located at http://avdi.allenpress.com/avdionline/?request=index-html | en_US |
dc.relation.ispartof | Avian Diseases | en_US |
dc.subject | Avian influenza virus | - |
dc.subject | Composition vector | - |
dc.subject | Genetic reassortment | - |
dc.subject | Genotyping | - |
dc.subject | H5N1 | - |
dc.subject | Influenza reassortment | - |
dc.subject | Phylogenetic analysis | - |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Animals | en_US |
dc.subject.mesh | Birds - Virology | en_US |
dc.subject.mesh | Genome, Viral | en_US |
dc.subject.mesh | Genotype | en_US |
dc.subject.mesh | Influenza A Virus, H5n1 Subtype - Genetics | en_US |
dc.subject.mesh | Influenza In Birds - Virology | en_US |
dc.subject.mesh | Phylogeny | en_US |
dc.subject.mesh | Reassortant Viruses - Genetics | en_US |
dc.subject.mesh | Software | en_US |
dc.subject.mesh | Viral Proteins - Genetics | en_US |
dc.title | Computational identification of reassortments in avian influenza viruses | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Guan, Y: yguan@hkucc.hku.hk | en_US |
dc.identifier.authority | Guan, Y=rp00397 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.pmid | 17494602 | - |
dc.identifier.scopus | eid_2-s2.0-34247574837 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34247574837&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 51 | en_US |
dc.identifier.issue | suppl. 1 | en_US |
dc.identifier.spage | 434 | en_US |
dc.identifier.epage | 439 | en_US |
dc.identifier.isi | WOS:000245474100058 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Wan, XF=9335365800 | en_US |
dc.identifier.scopusauthorid | Wu, X=14623363500 | en_US |
dc.identifier.scopusauthorid | Lin, G=7401699810 | en_US |
dc.identifier.scopusauthorid | Holton, SB=16245464200 | en_US |
dc.identifier.scopusauthorid | Desmone, RA=16244632800 | en_US |
dc.identifier.scopusauthorid | Shyu, CR=7005681170 | en_US |
dc.identifier.scopusauthorid | Guan, Y=7202924055 | en_US |
dc.identifier.scopusauthorid | Emch, ME=6603096379 | en_US |
dc.customcontrol.immutable | sml 170125 amended | - |
dc.identifier.issnl | 0005-2086 | - |