DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/12878

Arxiu Descripció MidaFormat
Arenas.pdf693.27 kBAdobe PDFThumbnail

Citació: Arenas, M. [et al.]. Characterization of phylogenetic networks with NetTest. "BMC bioinformatics", 20 Maig 2010, vol. 11, núm. 268, p. 1-5.
Títol: Characterization of phylogenetic networks with NetTest
Autor: Arenas, Miguel; Patricio, Mateus; Posada, David; Valiente Feruglio, Gabriel Alejandro Veure Producció científica UPC
Data: 20-mai-2010
Tipus de document: Article
Resum: Background: Typical evolutionary events like recombination, hybridization or gene transfer make necessary the use of phylogenetic networks to properly depict the evolution of DNA and protein sequences. Although several theoretical classes have been proposed to characterize these networks, they make stringent assumptions that will likely not be met by the evolutionary process. We have recently shown that the complexity of simulated networks is a function of the population recombination rate, and that at moderate and large recombination rates the resulting networks cannot be categorized. However, we do not know whether these results extend to networks estimated from real data. Results: We introduce a web server for the categorization of explicit phylogenetic networks, including the most relevant theoretical classes developed so far. Using this tool, we analyzed statistical parsimony phylogenetic networks estimated from ~5,000 DNA alignments, obtained from the NCBI PopSet and Polymorphix databases. The level of characterization was correlated to nucleotide diversity, and a high proportion of the networks derived from these data sets could be formally characterized. Conclusions: We have developed a public web server, NetTest (freely available from the software section at http:// darwin.uvigo.es), to formally characterize the complexity of phylogenetic networks. Using NetTest we found that most statistical parsimony networks estimated with the program TCS could be assigned to a known network class. The level of network characterization was correlated to nucleotide diversity and dependent upon the intra/interspecific levels, although no significant differences were detected among genes. More research on the properties of phylogenetic networks is clearly needed.
ISSN: 1471-2105
URI: http://hdl.handle.net/2117/12878
DOI: 10.1186/1471-2105-11-268
Versió de l'editor: http://www.biomedcentral.com/content/pdf/1471-2105-11-268.pdf
Apareix a les col·leccions:Altres. Enviament des de DRAC
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals. Articles de revista
Departament de Llenguatges i Sistemes Informàtics. Articles de revista

Stats Mostra les estadístiques d'aquest ítem

SFX Query

Aquest ítem (excepte textos i imatges no creats per l'autor) està subjecte a una llicència de Creative Commons Llicència Creative Commons
Creative Commons


Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius