Recognition of 3'-processing sites of human mRNA precursors.

A A Salamov, V V Solovyev
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引用次数: 59

Abstract

We have developed a computer program POLYAH and an algorithm for the identification of 3'-processing sites of human mRNA precursors. The algorithm is based on a linear discriminant function (LDF) trained to discriminate real poly(A) signal regions from the other regions of human genes possessing the AATAAA sequence which is most likely non-functional. As the parameters of LDF, various significant contextual characteristics of sequences surrounding AATAAA signals were used. An accuracy of method has been estimated on a set of 131 poly(A) regions and 1466 regions of human genes having the AATAAA sequence. When the threshold was set to predict 86% of poly(A) regions correctly, specificity of 51% and correlation coefficient of 0.62 had been achieved. The precision of this approach is better than for the other methods and has been tested on a larger data set. POLYAH can be used through World Wide Web (at Gene-Finder Home page: URL http:@dot.imgen.bcm.tmc.edu:9331/gene-finder/ gf.html) or by sending files with uncharacterized human sequences to the University of Houston or Weizmann Institute of Science e-mail servers.

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人类mRNA前体3'加工位点的识别。
我们开发了一个计算机程序POLYAH和一种算法来识别人类mRNA前体的3'加工位点。该算法是基于线性判别函数(LDF)的训练,以区分真实的多聚(a)信号区域和人类基因的其他区域,这些区域具有最可能是非功能的AATAAA序列。利用AATAAA信号周围序列的各种显著上下文特征作为LDF的参数。对人类AATAAA序列基因的131个聚(a)区和1466个聚(a)区进行了准确度估计。当阈值设定为正确预测86%的poly(A)区域时,特异性为51%,相关系数为0.62。这种方法的精度优于其他方法,并且已经在更大的数据集上进行了测试。POLYAH可以通过万维网(在Gene-Finder主页上:URL:@dot.imgen.bcm.tmc.edu:9331/ Gene-Finder / gf.html)使用,也可以通过向休斯顿大学或魏茨曼科学研究所的电子邮件服务器发送包含未确定的人类序列的文件来使用。
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A genetic algorithm for multiple molecular sequence alignment. Displaying the information contents of structural RNA alignments: the structure logos. Q-RT-PCR: data analysis software for measurement of gene expression by competitive RT-PCR. SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements. XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences.
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