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EXON PREDICTION IN EUCARYOTIC GENOMES

机译:泛素基因组中的外显子预测

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Two independent computer systems, NetPlantGene and AMELIE, dedicated to the identification of splice sites in plant and human genomes, respectively, are introduced here. Both methods were designed in relation to experimental work; they rely on automatically generated rules involving the nucleotide content of sequences regardless of the coding properties of exons. The specificity of plant sequences as considered in NetPlantGene is shown to enhance the quality of detection as opposed to general methods such as GRAIL. A scanning model of the acceptor site recognition is being simulated by AMELIE leading to a relatively accurate selection process of sites. [References: 23]
机译:这里介绍了两个独立的计算机系统,NetPlantGene和AMELIE,分别用于鉴定植物和人类基因组中的剪接位点。两种方法都是针对实验工作而设计的。它们依赖于自动生成的规则,该规则涉及序列的核苷酸含量,而与外显子的编码特性无关。与一般方法(例如GRAIL)相反,已证明NetPlantGene中考虑的植物序列特异性可提高检测质量。 AMELIE正在模拟受体位点识别的扫描模型,从而导致相对准确的位点选择过程。 [参考:23]

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