Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYu, Zu-Guo.en
dc.contributor.authorHan, Guo-Sheng.en
dc.contributor.authorZhou, Guang-ming.en
dc.contributor.authorWang, De-sheng.en
dc.contributor.authorZhou, Li-Qian.en
dc.description.abstractThere has been a growing interest in alignment-free methods for phylogenetic analysis using complete genome data. Among them, CVTree method, feature frequency profiles method and dynamical language approach were used to investigate the whole-proteome phylogeny of large dsDNA viruses. Using the data set of large dsDNA viruses from Gao and Qi (BMC Evol. Biol. 2007), the phylogenetic results based on the CVTree method and the dynamical language approach were compared in Yu et al. (BMC Evol. Biol. 2010). In this paper, we first apply dynamical language approach to the data set of large dsDNA viruses from Wu et al. (Proc. Natl. Acad. Sci. USA 2009) and compare our phylogenetic results with those based on the feature frequency profiles method. Then we construct the whole-proteome phylogeny of the larger dataset combining the above two data sets. According to the report of The International Committee on the Taxonomy of Viruses (ICTV), the trees from our analyses are in good agreement to the latest classification of large dsDNA viruses.en
dc.titleSome comparison on whole-proteome phylogeny of large dsDNA viruses based on dynamical language approach and feature frequency profiles methoden
dc.typeConference Paperen
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen
dc.contributor.conferenceInternational Conference on Natural Computation (8th : 2012 : Chongqing, Sichuan, China)en
item.fulltextNo Fulltext-
Appears in Collections:SPMS Conference Papers

Citations 50

Updated on Mar 9, 2023

Page view(s) 50

Updated on Mar 24, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.