Classifying Genotypes of Acinetobacter Calcoaceticus-Baumannii by Random Amplified Polymorphic DNA

被引：0

作者：

Zhou, Shao-Dan ^{[1
]}

Liu, Li ^{[2
]}

Gong, Xiao-Hong ^{[1
]}

Xie, Fen ^{[1
]}

机构：

[1] Suzhou Univ, Affiliated Peoples Hosp 4, Peoples Hosp Wuxi 4, Wuxi 214036, Jiangsu, Peoples R China

[2] Jiangnan Univ, Sch Informat Technol, Wuxi 214122, Jiangsu, Peoples R China

来源：

JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY | 2011年 / 5卷 / 01期

关键词：

Acinetobacter calcoaceticus-baumannii; RAPD Fingerprint; Image Segmentation; Fuzzy Clustering; Artificial Immune Network;

D O I：

10.1260/1748-3018.5.1.49

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

To investigate the genotypes of Acinetobacter calcoaceticus-baumannii, 100 strains of Acinetobacter calcoaceticus-baumannii collected from a clinical setting were analyzed by random amplified polymorphic DNA (RAPD) technique. DNA Fingerprints of these strains generated were extracted by image segmentation. To obtain optimal multilevel thresholds of image segmentation, an artificial immune network for fast fuzzy clustering was used. Experimental results indicated that the RAPD fingerprints of these strains were classified into 17 described genomic species. Among them, there are two major species A with 35 strains (35.7%) and D with 22 strains (22.4%), respectively.

引用

页码：49 / 56

页数：8

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