Phylogeny of SARS-CoV based on high-dimensional information geometry


Autoria(s): Wang SJ (Wang Shoujue); Mo R (Mo Rui); Cao WM (Cao Wenming)
Data(s)

2006

Resumo

We proposed a novel methodology, which firstly, extracting features from species' complete genome data, using k-tuple, followed by studying the evolutionary relationship between SARS-CoV and other coronavirus species using the method, called "High-dimensional information geometry". We also used the mothod, namely "caculating of Minimum Spanning Tree", to construct the Phyligenetic tree of the coronavirus. From construction of the unrooted phylogenetic tree, we found out that the evolution distance between SARS-CoV and other coronavirus species is comparatively far. The tree accurately rebuilt the three groups of other coronavirus. We also validated the assertion from other literatures that SARS-CoV is similar to the coronavirus species in Group I.

Identificador

http://ir.semi.ac.cn/handle/172111/10300

http://www.irgrid.ac.cn/handle/1471x/64343

Idioma(s)

英语

Fonte

Wang SJ (Wang Shoujue); Mo R (Mo Rui); Cao WM (Cao Wenming) .Phylogeny of SARS-CoV based on high-dimensional information geometry ,CHINESE JOURNAL OF ELECTRONICS,2006,15(4A):911-914

Palavras-Chave #人工智能 #severs acute respivatory syndrome (SARS)-associated Coronavirus (SARS-CoV) #coronavirus #phylogeny #k-tuple #high-dimensional information geometry #BIOMIMETIC PATTERN-RECOGNITION #ACUTE-RESPIRATORY-SYNDROME #NEURAL-NETWORKS #CORONAVIRUS #SEQUENCE
Tipo

期刊论文