Comparison between two PCR-based bacterial identification methods through artificial neural network data analysis
文献类型：期刊论文
| 作者 | Wen, Jie2; Zhang, Xiaohui2; Gao, Peng1; Jiang, Qiuhong2 |
| 刊名 | journal of clinical laboratory analysis
 |
| 出版日期 | 2008 |
| 卷号 | 22期号:1页码:14-20 |
| 关键词 | 16S rRNA gene 16S-23S rRNA spacer region gene capillary electrophoresis artificial neural network (ANN) single-strand conformation polymorphism (SSCP) restriction fragment length polymorphism (RFLP) |
| 英文摘要 | the 16s ribosomal ribonucleic acid (rrna) and 16s-23s rrna spacer region genes are commonly used as taxonomic and phylogenetic tools. in this study, two pairs of fluorescent-labeled primers for 16s rrna genes and one pair of primers for 16s-23s rrna spacer region genes were selected to amplify target sequences of 317 isolates from positive blood cultures. the polymerase chain reaction (pcr) products of both were then subjected to restriction fragment length polymorphism (rflp) analysis by capillary electrophoresis after incomplete digestion by hae iii. for products of 16s rrna genes, single-strand conformation polymorphism (sscp) analysis was also performed directly. when the data were processed by artificial neural network (ann), the accuracy of prediction based on 16s-23s rrna spacer region gene rflp data was much higher than that of prediction based on 16s rrna gene sscp analysis data(98.0% vs. 79.6%). this study proved that the utilization of ann as a pattern recognition method was a valuable strategy to simplify bacterial identification when relatively complex data were encountered. |
| WOS标题词 | science & technology ; life sciences & biomedicine |
| 类目[WOS] | medical laboratory technology |
| 研究领域[WOS] | medical laboratory technology |
| 关键词[WOS] | 16s ribosomal-rna ; strand conformation polymorphism ; rapid identification ; sequence-analysis ; electrophoresis ; gene ; polyacrylamide ; microarray ; pathogens ; region |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000253587800003 |
| 公开日期 | 2015-11-17 |
| 源URL | [http://159.226.238.44/handle/321008/140790]  |
| 专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
| 作者单位 | 1.Chinese Acad Sci, Dalian Inst Chem Phys, Natl Chromatog R&A Ctr, Dalian 116023, Peoples R China 2.Dalian Municipal Cent Hosp, Dalian, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wen, Jie,Zhang, Xiaohui,Gao, Peng,et al. Comparison between two PCR-based bacterial identification methods through artificial neural network data analysis[J]. journal of clinical laboratory analysis,2008,22(1):14-20. |
| APA | Wen, Jie,Zhang, Xiaohui,Gao, Peng,&Jiang, Qiuhong.(2008).Comparison between two PCR-based bacterial identification methods through artificial neural network data analysis.journal of clinical laboratory analysis,22(1),14-20. |
| MLA | Wen, Jie,et al."Comparison between two PCR-based bacterial identification methods through artificial neural network data analysis".journal of clinical laboratory analysis 22.1(2008):14-20. |
入库方式： OAI收割
来源：大连化学物理研究所
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