Covid-19 pandemic, caused by the SARS-CoV-2 genome sequence of coronavirus, has affected millions of people all over the world and taken thousands of lives. It is of utmost importance that the character of this deadly virus be studied and its nature be analyzed. We present here an analysis pipeline comprising a classification exercise to identify the virulence of the genome sequences and extraction of important features from its genetic material that are used subsequently to predict mutation at those interesting sites using deep learning techniques. We have classified the SARS-CoV-2 genome sequences with high accuracy and predicted the mutations in the sites of Interest. In a nutshell, we have prepared an analysis pipeline for hCov genome sequences leveraging the power of machine intelligence and uncovered what remained apparently shrouded by raw data.

中文翻译：

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分析hCov基因组序列：预测毒力和突变

由冠状病毒的SARS-CoV-2基因组序列引起的Covid-19大流行已经影响了全球数百万人，并夺去了数千人的生命。至关重要的是研究这种致命病毒的特征并分析其性质。我们在这里提出了一个分析管道，其中包括一个分类练习，以识别基因组序列的毒力并从其遗传材料中提取重要特征，随后将这些特征用于使用深度学习技术预测那些有趣位点的突变。我们已经对SARS-CoV-2基因组序列进行了高精度分类，并预测了目标位点的突变。简而言之，