Influenza differentiation and evolution

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Fältnamn	Indikatorer	Metadata
000		03751naa a2200505 4500
001		oai:DiVA.org:uu-241885
003		SwePub
008		150119s2010 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:research.chalmers.se:04227879-bcb9-460d-a32a-e9a29f35bfc4
009		oai:gup.ub.gu.se/216409
009		oai:DiVA.org:liu-140851
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2418852 URI
024	7	a https://research.chalmers.se/publication/2164092 URI
024	7	a https://gup.ub.gu.se/publication/2164092 URI
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1408512 URI
040		a (SwePub)uud (SwePub)cthd (SwePub)gud (SwePub)liu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a kon2 swepub-publicationtype
100	1	a Bartoszek, Krzysztof,d 1984-u Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg,Mathematical Statistics, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden4 aut0 (Swepub:liu)krzba67
245	1 0	a Influenza differentiation and evolution
264	1	c 2010
338		a print2 rdacarrier
520		a The aim of the study is to do a very wide analysis of HA, NA and M influenza gene segments to find short nucleotide regions,which differentiate between strains (i.e. H1, H2, ... e.t.c.), hosts, geographic regions, time when sequence was found and combination of time and region using a simple methodology. Finding regions differentiating between strains has as its goal the construction of a Luminex microarray which will allow quick and efficient strain recognition. Discovery for the other splitting factors could shed lighton structures significant for host specificity and on the history of influenza evolution. A large number of places in the HA, NA and M gene segments were found that can differentiate between hosts, regions, time and combination of time and region. Also very good differentiation between different Hx strains can be seen.We link one of our findings to a proposed stochastic model of creation of viral phylogenetic trees.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng
650	7	a NATURVETENSKAPx Matematikx Sannolikhetsteori och statistik0 (SwePub)101062 hsv//swe
650	7	a NATURAL SCIENCESx Mathematicsx Probability Theory and Statistics0 (SwePub)101062 hsv//eng
653		a Bioinformatik
653		a Bioinformatics
653		a Mathematical Statistics
653		a Matematisk statistik
653		a Statistics
653		a Statistik
700	1	a Liò, Pietrou Computer Laboratory, University of Cambridge Cambridge, United Kingdom,University Of Cambridge4 aut
700	1	a Sorathiya, Anilu Computer Laboratory, University of Cambridge Cambridge, United Kingdom,University Of Cambridge4 aut
710	2	a Göteborgs universitetb Institutionen för matematiska vetenskaper4 org
773	0	t Acta Physica Polonica B Proceedings Supplementg 3:2, s. 417-452q <417-452
773	0	t Acta Physica Polonica B, Proceedings Supplementg 3:2, s. 417-452q 3:2<417-452x 1899-2358
856	4	u http://www.actaphys.uj.edu.pl/fulltext?series=Sup&vol=3&page=417y Link to full text
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-241885
856	4 8	u https://research.chalmers.se/publication/216409
856	4 8	u https://gup.ub.gu.se/publication/216409
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140851

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Av författaren/redakt...: Bartoszek, Krzys ...; Liò, Pietro; Sorathiya, Anil

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NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Bioinformatik

NATURVETENSKAP: NATURVETENSKAP; och Matematik; och Sannolikhetsteor ...

Artiklar i publikationen: Acta Physica Pol ...; Acta Physica Pol ...

Av lärosätet: Uppsala universitet; Chalmers tekniska högskola; Göteborgs universitet; Linköpings universitet

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