Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/21610
Título: A new algorithm for cluster analysis of genomic methylation
the Helicobacter pylori case
Autor: Vale, F. F.
Encarnacao, P.
Vitor, J. M. B.
Palavras-chave: Biochemical Research Methods
Biotechnology & Applied Microbiology
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Statistics & Probability
Data: 2008
Citação: BIOINFORMATICS. - Vol. 24, n. 3 (FEB 1 2008), p. 383-388
Resumo: Motivation: The genomic methylation analysis is useful to type bacteria that have a high number of expressed type II methyltransferases. Methyltransferases are usually committed to Restriction and Modification (R-M) systems, in which the restriction endonuclease imposes high pressure on the expression of the cognate methyltransferase that hinder R-M system loss. Conventional cluster methods do not reflect this tendency. An algorithm was developed for dendrogram construction reflecting the propensity for conservation of R-M Type II systems. Results: The new algorithm was applied to 52 Helicobacter pylori strains from different geographical regions and compared with conventional clustering methods. The algorithm works by first grouping strains that share a common minimum set of R-M systems and gradually adds strains according to the number of the R-M systems acquired. Dendrograms revealed a cluster of African strains, which suggest that R-M systems are present in H.pylori genome since its human host migrates from Africa.
URI: http://hdl.handle.net/10451/21610
DOI: http://dx.doi.org/10.1093/bioinformatics/btm621
ISSN: 1367-4803
Aparece nas colecções:FF - Produção Científica 2000-2009

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