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首页> 外文期刊>Proceedings of the IEEE >GRAIL: a multi-agent neural network system for gene identification
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GRAIL: a multi-agent neural network system for gene identification

机译：GRAIL：用于基因识别的多主体神经网络系统

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摘要

Identifying genes within large regions of uncharacterized DNA is a difficult undertaking and is currently the focus of many research efforts. We describe a gene localization and modeling system, called GRAIL. GRAIL is a multiple sensor-neural network-based system. It localizes genes in anonymous DNA sequence by recognizing features related to protein-coding regions and the boundaries of coding regions, and then combines the recognized features using a neural network system. Localized coding regions are then "optimally" parsed into a gene model. Through years of extensive testing GRAIL consistently achieves about 90% of coding portions of test genes with a false positive rate of about 10% A number of genes for major genetic diseases have been located through the use of GRAIL, and over 1000 research laboratories worldwide use GRAIL on regular bases for localization of genes on their newly sequenced DNA.
机译：在未表征的DNA的大区域内鉴定基因是一项艰巨的任务，目前是许多研究工作的重点。我们描述了一种称为GRAIL的基因定位和建模系统。 GRAIL是基于多传感器神经网络的系统。它通过识别与蛋白质编码区和编码区边界有关的特征，将基因定位在匿名DNA序列中，然后使用神经网络系统组合识别的特征。然后将定位的编码区“最佳”解析为基因模型。通过多年的广泛测试，GRAIL始终以约10％的假阳性率连续获得约90％的测试基因编码部分。通过使用GRAIL已经找到了许多重大遗传疾病的基因，全球有1000多个研究实验室在使用在常规碱基上进行GRAIL，以将基因定位在其新测序的DNA上。

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