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Comparison of ncRNAs related to two diseases using z-curve method

机译:使用z曲线方法比较与两种疾病相关的ncRNA

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At the present time, it is proved that non- protein- coding RNAs(ncRNAs) play very important roles in the cellular process of translation and relates to Human Severe Diseases. From the NONCODE database 15 diseaserelated ncRNA sequences are selected in this paper, which play regulator roles and relate toAlzheimer Disease and Cancer. Based on Z-curve theory, we map and analyze the Z curves of the studied sequences. By comparing the curves, the statistical features of the Z-curve are obtained. We find that there are almost same curves and base content for one kind of ncRNAs playing same roles. And there are differences of Zn-n curve in different organisms. The conclusion is that the Z-curve is connected with the type or function of ncRNA and organisms.
机译:目前,已经证明非蛋白质编码RNA(ncRNA)在翻译的细胞过程中起非常重要的作用,并且与人类严重疾病有关。本文从NONCODE数据库中选择了15种与疾病相关的ncRNA序列,它们起着调节器的作用,并与阿尔茨海默氏病和癌症有关。基于Z曲线理论,我们绘制和分析了研究序列的Z曲线。通过比较曲线,可以获得Z曲线的统计特征。我们发现,具有相同作用的一种ncRNA具有几乎相同的曲线和基本含量。而且不同生物体内的Zn-n曲线也存在差异。结论是Z曲线与ncRNA和生物的类型或功能有关。

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