Numerical analysis of electroforetic periplasmic protein patterns, a possible marker system for epidemiological studies

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear
dc.contributor	Universitat Politècnica de Catalunya. SC-SIMBIO - Sistemes complexos. Simulació discreta de materials i de sistemes biològics
dc.contributor.author	Gargallo-Viola, Domingo
dc.contributor.author	López Codina, Daniel
dc.date	1990
dc.identifier.citation	Gargallo-Viola, D.; Lopez, D. Numerical analysis of electroforetic periplasmic protein patterns, a possible marker system for epidemiological studies. "Journal of clinical microbiology", 1990, vol. 28, núm. 1, p. 136-139.
dc.identifier.citation	0095-1137
dc.identifier.uri	http://hdl.handle.net/2117/12494
dc.language.iso	eng
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Microbiologia
dc.subject	Microbiology
dc.subject	Proteïnes -- Anàlisi
dc.subject	Epidemiologia
dc.title	Numerical analysis of electroforetic periplasmic protein patterns, a possible marker system for epidemiological studies
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The whole-cell and periplasmic protein (PP) compositions of 22 Serratia marcescens isolates were examined. Numerical analysis of whole-cell protein patterns was not a useful procedure for measuring relationships between organisms at the subspecific level. However, there was a very good correlation between electrophoretic PP pattern results and those obtained previously from multilocus enzyme electrophoresis (electrophoretic type) and biotype (D. Gargallo-Viola, J. Clin. Microbiol. 27:860-868, 1989). Clustering of isolates by using PP patterns compared by coefficients based on peak position (Dice coefficient) gave more precise information than that obtained by correlation coefficients. PP patterns appeared to be a useful tool that may be of value for epidemiologic studies.

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