Developing bioinformatics approaches for the anaylsis of influenza virus whole genome sequence data.
Developing bioinformatics approaches for the anaylsis of influenza virus whole genome sequence data.
批准号:
1800166
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
流感病毒对全世界人类和动物的健康具有关键影响,感染人类和牲畜并引发大流行。测序技术使我们能够以前所未有的规模监测和了解这些病毒的遗传变异。然而,由于现在可以对数百或数千个病毒全基因组进行常规测序,因此需要新的生物信息学方法来分析和处理这种规模的数据。为了了解流感病毒如何演变和传播,这一领域的方法学发展变得越来越重要。流感病毒基因组由8个片段组成,这些片段不断变异和重组,导致抗原漂移和抗原转移。微生物基因组学中的许多标准生物信息学方法都是为来自进化速度慢得多的细菌的数据而设计的。因此,从分类到映射的许多方法可以执行次优。同时,现代生物信息学方法可以提供重要的信息,但许多方法并不是为大数据应用而设计的。该项目专注于开发尖端的生物信息学方法和建模,用于处理和分析流感病毒全基因组测序数据,与来自卡迪夫大学的世界级研究人员和英国各地的合作者合作。该学生设计了生物信息学算法和建模方法,用于全基因组测序管道的几个部分,包括序列组装,分类和动态建模。
英文摘要
Influenza viruses have a key impact on human and animal health worldwide, infecting humans and livestock and seeding pandemics. Sequencing technologies have enabled us to monitor and understand the genetic variation of these viruses at unprecedented scale. However, since it is now possible to routinely sequence hundreds or thousands of virus whole genomes, new bioinformatics approaches are required for analysis and processing of data at this scale. Methodological development in this area has become increasingly important for the purposes of understanding how influenza viruses evolve and spread. The influenza virus genome is composed of 8 segments which continuously mutate and reassort, which result in antigenic drift and antigenic shift. Many standard bioinformatics approaches in microbial genomics were designed for data derived from bacteria that evolve at a much slower rate. As such, many approaches, from classification to mapping, can perform sub-optimally. Simultaneously, modern phylodynamic methods can provide important information, but many are not designed for big data applications.This project was focused on the development of cutting-edge bioinformatics methods and modelling for the processing and analysis of influenza virus whole genome sequencing data, working with world-class researchers from University of Cardiff and collaborators across the UK. The student designed bioinformatics algorithms and modelling approaches for several parts of the whole genome sequencing pipeline, including sequence assembly, classification, and phylodynamic modelling.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1093/bioinformatics/btz814
发表时间:
2020-03-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
[Southgate JA, Bull MJ, Brown CM, Watkins J, Corden S, Southgate B, Moore C, Connor TR]
通讯作者:
Connor TR
国内基金
海外基金
膀胱癌高表达基因UPK3A的筛选、鉴定和相关研究
-
批准号:81101922
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项目类别:青年科学基金项目
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资助金额:23.0万元
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批准年份:2011
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负责人:来永庆
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依托单位:
对虾白斑综合症病毒(WSSV)感染相关基因及其细胞受体的筛选和鉴定
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批准号:30700618
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2007
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负责人:袁丽
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依托单位: