New software for nanopore based diagnostics and surveillance
New software for nanopore based diagnostics and surveillance
批准号:
BB/R022445/1
负责人:
Richard Leggett
金额:
$19.31万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
The Oxford Nanopore Technologies MinION is a new DNA sequencer developed in the UK from UK technology, it is only a few inches long and plugs into the USB port of a laptop. Its low cost and portability make it extremely attractive for "in field" and clinical sequencing applications. These kinds of samples are typically metagenomic (mixed samples of many different organisms) and often the key questions researchers want to answer are: 1) what species are in the sample? 2) how much of each is there? 3) What kinds of antibiotic resistance bacteria are there?Unlike previous sequencing technologies, the MinION is capable of working in real-time, which means that data can be analysed progressively as it is generated. In a clinical setting, this could mean getting test results back far quicker than would otherwise be possible. However there is a lack of software capable of performing real-time analysis and many users fail to take advantage of this unique feature of the technology. The aim of this project is to develop a software tool that can provide real-time analysis of clinical and environmental samples in an easy-to-install and easy-to-use way, but which enables tailoring of the analysis to the specific needs of individual applications. We are also very keen to take advantage of the fact that the MinION can sequence much longer stretches of DNA than older technologies in order to more accurately identify the bacteria which harbour antibiotic resistance. Ultimately, this will lead to improved treatment regimes for illnesses linked to bacteria.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1186/s13059-021-02582-x
发表时间:
2022-01-24
期刊:
Genome biology
影响因子:
12.3
作者:
[Martin S, Heavens D, Lan Y, Horsfield S, Clark MD, Leggett RM]
通讯作者:
Leggett RM
DOI:
10.1111/2041-210x.13265
发表时间:
2019-10-01
期刊:
METHODS IN ECOLOGY AND EVOLUTION
影响因子:
6.6
作者:
[Peel, Ned, Dicks, Lynn V., Yu, Douglas W.]
通讯作者:
Yu, Douglas W.
Algebraic Invariants for Phylogenetic Network Inference
-
批准号:EP/W007134/1
-
项目类别:Research Grant
-
资助金额:$8.16万
-
财政年份:2022
-
负责人:Richard Leggett
-
依托单位:
Algorithms for Phylogenetic Network Inference from DNA Sequence Data
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批准号:BB/X005186/1
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项目类别:Research Grant
-
资助金额:$0.38万
-
财政年份:2022
-
负责人:Richard Leggett
-
依托单位:
Rapid in-field Nanopore-based identification of plant and animal pathogens
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批准号:BB/N023196/1
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项目类别:Research Grant
-
资助金额:$19.23万
-
财政年份:2017
-
负责人:Richard Leggett
-
依托单位:
Development of computational strategies for identification and characterisation of viruses in metagenomic samples
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批准号:BB/M004805/1
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项目类别:Research Grant
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资助金额:$39.17万
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财政年份:2014
-
负责人:Richard Leggett
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依托单位:
国内基金
海外基金
低辐射空间环境下商用多核处理器层次化软件容错技术研究
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批准号:90818016
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项目类别:重大研究计划
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资助金额:50.0万元
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批准年份:2008
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负责人:傅忠传
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依托单位: