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首页> 外文期刊>Journal of computational and theoretical nanoscience >A Novel Approach to Identify Protein Coding Domains by Sampling Binary Profiles from Genome
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A Novel Approach to Identify Protein Coding Domains by Sampling Binary Profiles from Genome

机译:一种通过从基因组中采样二进制图谱来识别蛋白质编码域的新方法

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In recent works, it was reported that the distributions of specific binary profiles associated with DNA sequences can be used for rapid homology assessment in genome space. In this work, following this line of research, we propose a new and effective approach to identify protein coding domains using binary profiles. In our method, a set of DNA segments having similar algebraic structures are represented by one binary profile. The binary profiles with higher appearance rates in known protein coding domains can be used to find unknown or potential protein coding domains. We test our method on complete sequence of Halalkalicoccus jeotgali B3 plasmid 1, genome of Escherichia coli ATCC 8739 and genome of Gallus gallus. Experiment results show that the binary profile method performs significantly in identifying unknown protein coding domains. By statistic analysis, we conclude that the obtained experimental results are statistically significant.
机译:在最近的工作中,据报道与DNA序列相关的特定二进制图谱的分布可用于基因组空间中的快速同源性评估。在这项工作中,遵循这一研究方向,我们提出了一种使用二进制配置文件识别蛋白质编码域的新的有效方法。在我们的方法中,一组具有相似代数结构的DNA片段由一个二进制轮廓表示。在已知蛋白质编码域中具有较高出现率的二元谱可用于发现未知或潜在的蛋白质编码域。我们测试了嗜盐链球菌Balalalalococcus jeotgali B3质粒1的完整序列,该基因是大肠杆菌ATCC 8739的基因组和鸡鸡的基因组。实验结果表明,二元分析法在识别未知蛋白质编码域方面具有显着的效果。通过统计分析,我们得出的结论是,获得的实验结果具有统计学意义。

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