HIV整合位点的生物信息学分析_孙汉顺.pdf

8 3 Vo.l8 No.3 2 0 1 0 9 ChinaJournalofBioinformatics Sep., 2010 HIV 1, 3 1, 2 1 1 1, 3 ＊ , , ,, (1., 200072;2., 5 10515; 3., 5 10800) :已有研究证明, HIV整合位点的选择, 与宿主基因组功能和染色体结构特性之间 在着紧密的联系, 但是具体的选择机 制还不明确 使用聚类分析、特征提取、分类分析等生物信息学方法, 对 HIV整合位点序列进行分析和研究, 挖掘 HIV整合位 点序列之间的关系, 探索 HIV整合位点的选择规律 通过实验和计算, 从 HIV整合位点集合中提取出了含有 6 个特征向量的 向量集, 该向量集与大部分整合位点的特征向量具有较高的相关性, 从而提示了 HIV整合位点选择中的规律性, 即符合向量 集的宿主 DNA序列可为 HIV的整合位点 研究结果为进 一步揭示 HIV整合位点的选择机制提供了可供参考的依据 :HIV;整合位点;选择机制;聚类分析;特征提取 :TP391　　:A　　:167 2-5565 (20 10 )-03-194-04 BioinformaticsanalysisonHIVintegrationsites 1, 3 1, 2 1 1 1, 3＊ SUNHan-shun, MAWen-li, GAOJing-yu, SUNLi-zhe, ZHENGWen-ling (1.BioelectronicsResearchCente,rShanghaiUniversity, Shanghai200072, China; 2.InstituteofGeneticEngineering, SouthernMedicalUniversity, Guangzhou510515, China; 3.SouthGenomicsResearchCente,rGuangzhou510800, China) Abstrac:tGreatevidencegeneratedfromexpermientshavepointedoutthattheselectionofHIV integrationsitesisnotrandom, and HIV integrationsitesselectionrelatestohostgenomefunctionsandchromosomestructures.Howeve,rtheintegrationmechanismhas notbeenclea.rBioinformaticstool,ssuchasclusteringanalysi,sfeatureextraction, classificationanalysisetc., wereappliedinthis reporttoanalyzetheHIVintegrationsite,swhichamistodiscovertherelationshipamongHIVintegrationsitesandtheHIVintegration mechnism.Afeaturesetcontaining6 featureshasbeenclusteringclassified, anditwasfoundthatthesethashighcorrelationwith mostHIVintegrationsites.Theresultsimplythattheselectionsitesmightbebasedonsequencesfittingintotheclassifiedfeaturese.t TheseresultscangivesupportonstudyofselectionmechanismofHIV in