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GENOMIC SIGNAL ANALYSIS: STUDY OF PATHOGEN VARIABILITY

机译:基因组信号分析:病原体变异性研究

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The conversion of symbolic nucleotide sequences into digital signals allows applying signal processing methods to analyze genomic data. The method works well for the study of small genomic sequences, such as in the genomes of viruses and bacteria, and is adequate for monitoring their variability and tracking the development of drug resistance. The paper is based on data downloaded from NIH GenBank, and compares the Hemagglutinin (HA) gene in human and avian isolates of the influenza type A, subtype H5N1, virus.
机译:符号核苷酸序列转化为数字信号允许应用信号处理方法来分析基因组数据。 该方法适用于研究小型基因组序列的研究,例如在病毒和细菌的基因组中,并且足以监测其可变性和跟踪耐药性的发展。 本文基于从NIHGegank下载的数据,并将血血糖素(HA)基因与流感A型,亚型H5N1,病毒的血流量和禽分离株进行比较。

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