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作 者:李庆虹[1,2] 李晓东[3] 庄永龙 郝玉清[3] 刘妍[3] 戴久增[3] 赵达生[1] 王业东[3] 徐东平[3]
机构地区:[1]军事医学科学院科技部,北京100850 [2]解放军302医院医务部 [3]解放军302医院全军传染病研究所,北京100039 [4]百奥知信息科技有限公司,北京100085
出 处:《解放军医学杂志》2010年第11期1348-1350,共3页Medical Journal of Chinese People's Liberation Army
基 金:国家“十一五”传染病重大专项课题(2009ZX10005-017);北京市自然科学基金重点课题(7091006)
摘 要:目的采用生物信息和网络信息技术建立一个带有临床资料和代表性克隆基因的多功能乙型肝炎病毒(HBV)序列数据库及HBV耐药分析平台。方法平台的构建基于J2EE框架,支持Windows、Linux等操作系统,支持Oracle、Sqlserver、Mysql等数据库。整合了序列比对、进化分析、抗原表位分析、耐药变异分析和耐药分析等生物信息学功能。收录的HBV基因序列、克隆和相关临床信息来源于2007年7月-2009年6月解放军302医院诊治的6880例HBV感染患者。结果初步建立了该信息平台并进行了应用。平台收录了本课题组检测分析的HBV全基因组序列516条,HBV反转录酶(RT)/S或前核心启动子/前C功能基因或调控序列11 456条,代表性HBV基因组或基因克隆613条以及患者的临床资料,实现了HBV序列比对、基因型/亚型和血清型分型、S/C/P/X蛋白氨基酸序列预测、T细胞抗原表位分析、耐药分析、患者临床信息检索等功能。应用该数据平台分析我国大样本慢性HBV感染患者HBV耐药变异和基因型流行特点,表明功能实用可靠。结论 HBV序列和耐药分析信息平台的建立有助于充分利用我国患者的HBV序列和相关信息资源,服务于乙肝患者的临床耐药检测和HBV病毒学特性研究。Objective With bioirfformatics and network information technique, to establish a multifunetional database of hepatitis B virus (HBV) sequence, which contains the clinical data and representative HBV gene clones, and an acquisition platform of analyzing HBV drug resistance. Methods The construction of the platform was based on Java 2 Platform, Enterprise Edition (J2EE) frame, supporting Window and Linux operation systems and Oracle, Sqlserver and Myscll databases. It integrated several bioinformaties analytic functions including sequence alignment, phylogenetic analysis, epitope analysis, drug resistance analysis and comprehensive search engine. The deposit sequences and genetic clones with related clinical background information were collected from 6880 HBV-infected patients treated in PLA 302 Hospital from July 2007 to June 2009. Results The platform was preliminarily established and put into application. It deposited 516 HBV complete genomic sequences, 11456 HBV reverse-transeriptase (RT)/S and precore/core promoter gene or regulator sequences, and 613 representative HBV genomics or gene clones. The fulfilled functions comprised of HBV sequence comparison, HBV genotype/ subgenotype and serotype classification, the amino acid sequence prediction of S/C/P/X proteins, T-cell antigenic epitope analysis, drug resistance analysis, and patients' clinical information searches. A preliminary use of the platform showed that it was practical for effectively investigating HBV drug-resistant mutation feature and HBV genotype prevalence in large-size HBV-infected Chinese patients. Conclusion Establishment of HBV sequence and drug resistance analysis information platform is conducive to the full utilization of HBV sequences and related data of Chinese patients for HBV drug-resistant analysis in clinic and for the study of HBV virologic features.
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