多样性指标用于基因中剪切位点的识别
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国家自然科学基金资助项目(90103030).


Recognition of Splice Sites in Genes by Use of Diversity Measure Method
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This work was supported by grants from The National Natural Sciences Foundation(90103030).

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    摘要:

    根据基因剪切位点处的碱基保守性特征,和附近位点的碱基组成和关联特征,应用多样性指标和二次判别分析,对几类模式生物的基因结构进行统一的分析和预测,能够较好地识别外显子和内含子及其边界.计算结果表明,对于4类物种,线虫(C.elegans),拟南芥(A.thaliana), 果蝇(D.melanogaster)和人类(human),核苷酸水平的识别精度为92.5%~97.1%,外显子水平的识别敏感性为83.7%~94.5%,特异性为87.8%~97.1%.预测能力优于GeneSplicer等剪切位点检测软件.

    Abstract:

    The conservation of nucleotides at splicing sites and the characteristics of base composition and base correlation in the adjacent segment sequences have been investigated by use of the method of diversity measure combined with quadratic discriminant analysis. About 4 000 genes in five model genomes have been studied. The splicing sites and the exon/intron boundaries are recognized and predicted. The preliminary calculation shows that, through this simple and unified approach the prediction accuracy on the nucleotide basis is from 92.5% to 97.1% for C.elegans, A.thaliana, D.melanogaster and human. The prediction sensitivity and specificity on the exon basis are 83.7%~94.5% and 87.8%~97.1% respectively for these genomes. Non-canonical splicing has also been analyzed. The prediction capacity of the present method is comparable with GeneSplicer and other current splice site detectors.

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张利绒,罗辽复.多样性指标用于基因中剪切位点的识别[J].生物化学与生物物理进展,2004,31(1):77-82

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  • 收稿日期:2003-06-11
  • 最后修改日期:2003-07-31
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