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Graphical Method to Determine Sequence Variation on NA Protein of H5N1 Virus using Discrete Wavelet Transform

机译:使用离散小波变换确定H5N1病毒Na蛋白序列变化的图解方法

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Influenza A virus belongs to the Orthomyxoviridae family and its genome is divided in eight distinct linear segments of negative-sense single stranded ribonucleic acid (RNA). Of all the eight influenza protein sequences, mutations in hemagglutinin and neuraminidase proteins show significant variations in their sequences. The threat of Influenza pandemic is ever rising due to its constant antigenic drift. Thus there is a need to characterize the genomic information in these viruses and signal processing methods offer the advantage of faster analysis in comparison to conventional techniques. Genomic information is converted into digital form by representation of the nucleotide bases in the form of mathematical sequences. In this paper, sequence variations of H5N1 virus have been studied using wavelet transforms as a signal analysis technique. Nucleotide sequences of neuraminidase protein of influenza virus occurring in different regions, in different hosts and over different years have been downloaded from National Centre for Biotechnology Information (NCBI) database. Sequences are aligned and converted into mathematical sequences then transformed using wavelet transforms. Graphical representations of the transformed sequences have been used to localise the regions of mutations along the sequence length.
机译:流感病毒属于矫形病毒,其基因组分为八个不同的阴性线性核糖核酸(RNA)的不同线性区段。在所有八种流感蛋白序列中,血凝素和神经氨酸酶蛋白中的突变显示出序列的显着变化。由于其恒定的抗原漂移,流感大流行的威胁永远升高。因此,需要表征这些病毒中的基因组信息,并且信号处理方法与常规技术相比,提供了更快的分析的优点。基因组信息通过以数学序列形式的核苷酸碱基转换为数字形式。在本文中,使用小波变换作为信号分析技术研究了H5N1病毒的序列变化。在不同主持人中发生的流感病毒的核苷酸序列,不同的宿主和不同年份的流感病毒已经从国家生物技术信息中心(NCBI)数据库中下载。序列被对齐并转换为数学序列,然后使用小波变换转换。转化序列的图形表示已被用于沿序列长度定位突变区域。

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