方向：理工
专业：公共卫生与医学
适合人群：医药学,免疫学,抗击冠状病毒,流行病学,医学,生物统计,生物,生物医学,数据分析,生命科学,生物信息学
是否可以加论文：是
项目时长及形式：英文
产出：
7周在线小组科研学习+5周论文辅导学习 共125课时
学术报告
优秀学员获主导师Reference Letter
EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等级别索引国际会议全文投递与发表（可用于申请）
结业证书
成绩单
项目介绍：
本项目讲带领学生一起探究计算生物学在对抗COVID-19大流行中的应，项目从序列对齐算法入手，探究排列冠状病毒基因组序列与其他病毒基因组，了解其起源和进化。应用组合模式匹配算法和隐马尔可夫模型算法分析冠状病毒基因组的基因组保护模式及如何为病毒设计新疫苗。使用系统发育树算法来处理病毒基因组的突变变异（不同国家的病毒基因组序列），利用基因组组装算法从序列读取构建冠状病毒基因组。通过本项目的学习，学生可以深入了解算法在冠状病毒基因组分析中的应用，在项目结束时，选择病毒基因组利用计算生物学知识进行分析研究，并提交项目报告，进行成果展示。
个性化研究课题参考：
计算生物学分析在基因组编辑研究中的应用
工业蛋白质构效关系的计算生物学解析
基于基因组数据的鸡胚培养H3N2流感病毒的动态适应性进化研究
基于基因组数据的Cov-19疫苗设计研究
This project will lead students to explore the application of computational biology in the fight against the COVID-19 pandemic. THis project will start from the introduction of the sequence alignment algorithm, explore the arrangement of the coronavirus genome sequence and other viral genomes to understand its origin and evolution. Using the combined pattern matching algorithm and hidden Markov model algorithm to analyze the genome protection mode of the coronavirus genome and guide the people to design a new vaccine for the virus. Using the phylogenetic tree algorithm to process the mutation and mutation of the viral genome (viral genome sequences in different countries), and using the genome assembly algorithm to construct the coronavirus genome from the sequence reads. Through the study of this project, students can have a deep understanding of the application of algorithms in the analysis of coronavirus genome. At the end of this project, students can select virus genomes for analysis and research using knowledge of computational biology, and submit a project report to display their results.
Suggested Research Fields：
Application of computational biology analysis in genome editing research
Computational biology analysis of structure-activity relationship of industrial protein
Research on dynamic adaptive evolution of h3n2 influenza virus cultured in chicken embryo based on genomic data
Research on Cov-19 Vaccine Design Based on Genomic Data
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