Document details

A new algorithm for cluster analysis of genomic methylation

Author(s): Vale, F. F. ; Encarnacao, P. ; Vitor, J. M. B.

Date: 2008

Persistent ID: http://hdl.handle.net/10451/21610

Origin: Repositório da Universidade de Lisboa

Subject(s): Biochemical Research Methods; Biotechnology & Applied Microbiology; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; Statistics & Probability


Description

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.

Document Type Journal article
Language English
Contributor(s) Repositório Científico de Acesso Aberto da ULisboa
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