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DIANA-EST: a statistical analysis.

机译:DIANA-EST:统计分析。

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MOTIVATION: Expressed Sequence Tags (ESTs) are next to cDNA sequences as the most direct way to locate in silico the genes of the genome and determine their structure. Currently ESTs make up more than 60% of all the database entries. The goal of this work is the development of a new program called DNA Intelligent Analysis for ESTs (DIANA-EST) based on a combination of Artificial Neural Networks (ANN) and statistics for the characterization of the coding regions within ESTs and the reconstruction of the encoded protein. RESULTS: 89.7% of the nucleotides from an independent test set with 127 ESTs were predicted correctly as to whether they are coding or non coding. AVAILABILITY: The program is available upon request from the author. CONTACT: Present address: Department of Genetics, University of Pennsylvania, School of Medicine, 475 Clinical Research Building, 415 Curie Boulevard, Philadelphia, PA 19104-6145, USA. artemis
机译:动机:表达序列标签(EST)紧随cDNA序列,是在计算机上定位基因组基因并确定其结构的最直接方法。当前,EST占所有数据库条目的60%以上。这项工作的目的是开发一个新的程序,称为EST的DNA智能分析(DIANA-EST),该程序基于人工神经网络(ANN)和统计信息的结合,用于EST内编码区的表征以及对编码蛋白。结果:来自具有127个EST的独立测试集的核苷酸的89.7%被正确预测为编码还是非编码。可用性:该程序可应作者要求提供。联系人:当前地址:美国宾夕法尼亚州宾夕法尼亚大学医学院遗传学系,475临床研究大楼,居里大道415号,费城,宾夕法尼亚州19104-6145。阿耳emi弥斯

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