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- Publisher Website: 10.1007/978-1-61779-621-0_13
- Scopus: eid_2-s2.0-84864573463
- PMID: 22528162
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Book Chapter: Genetic analysis
| Title | Genetic analysis |
|---|---|
| Authors | |
| Keywords | Maximum likelihood Natural selection Evolution Sequence alignment Phylogeny Bayesian inference Neighbor joining |
| Issue Date | 2012 |
| Publisher | Humana Press. |
| Citation | Genetic analysis. In Kawaoka, Y, Neumann, G (Eds.), Influenza Virus: Methods and Protocols, p. 207-227. Totowa, NJ: Humana Press, 2012 How to Cite? |
| Abstract | Genetic analysis of sequence data is central to determining the evolutionary history and molecular epidemiology of viruses, particularly those such as influenza A virus that have complex ecosystems involving multiple hosts. Here we provide an outline of routine phylogenetic analyses of influenza A viruses including multiple sequence alignment, selecting the best-fit evolutionary model and phylogenetic tree reconstruction using Neighbor joining, Maximum likelihood, and Bayesian inference. © 2012 Springer Science+Business Media, LLC. |
| Persistent Identifier | http://hdl.handle.net/10722/289015 |
| ISBN | |
| ISSN | 2023 SCImago Journal Rankings: 0.399 |
| PubMed Central ID | |
| Series/Report no. | Methods in Molecular Biology ; 865 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Smith, Gavin J.D. | - |
| dc.contributor.author | Bahl, Justin | - |
| dc.contributor.author | Vijaykrishna, Dhanasekaran | - |
| dc.date.accessioned | 2020-10-12T08:06:27Z | - |
| dc.date.available | 2020-10-12T08:06:27Z | - |
| dc.date.issued | 2012 | - |
| dc.identifier.citation | Genetic analysis. In Kawaoka, Y, Neumann, G (Eds.), Influenza Virus: Methods and Protocols, p. 207-227. Totowa, NJ: Humana Press, 2012 | - |
| dc.identifier.isbn | 9781617796203 | - |
| dc.identifier.issn | 1064-3745 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/289015 | - |
| dc.description.abstract | Genetic analysis of sequence data is central to determining the evolutionary history and molecular epidemiology of viruses, particularly those such as influenza A virus that have complex ecosystems involving multiple hosts. Here we provide an outline of routine phylogenetic analyses of influenza A viruses including multiple sequence alignment, selecting the best-fit evolutionary model and phylogenetic tree reconstruction using Neighbor joining, Maximum likelihood, and Bayesian inference. © 2012 Springer Science+Business Media, LLC. | - |
| dc.language | eng | - |
| dc.publisher | Humana Press. | - |
| dc.relation.ispartof | Influenza Virus: Methods and Protocols | - |
| dc.relation.ispartofseries | Methods in Molecular Biology ; 865 | - |
| dc.subject | Maximum likelihood | - |
| dc.subject | Natural selection | - |
| dc.subject | Evolution | - |
| dc.subject | Sequence alignment | - |
| dc.subject | Phylogeny | - |
| dc.subject | Bayesian inference | - |
| dc.subject | Neighbor joining | - |
| dc.title | Genetic analysis | - |
| dc.type | Book_Chapter | - |
| dc.description.nature | link_to_OA_fulltext | - |
| dc.identifier.doi | 10.1007/978-1-61779-621-0_13 | - |
| dc.identifier.pmid | 22528162 | - |
| dc.identifier.pmcid | PMC7121150 | - |
| dc.identifier.scopus | eid_2-s2.0-84864573463 | - |
| dc.identifier.spage | 207 | - |
| dc.identifier.epage | 227 | - |
| dc.publisher.place | Totowa, NJ | - |
| dc.identifier.issnl | 1064-3745 | - |