CARMEN e-Science Portal
CARMEN e-Science Portal
批准号:
BB/I001042/1
负责人:
Colin Ingram
金额:
$25.85万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2010
资助国家:
英国
项目状态:
已结题
起止时间:
2010 至 --
中文摘要
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英文摘要
The study of the brain and of nervous systems is one of the priority areas for biological research in the UK and internationally. Neuroscience research commonly employs techniques that generate large data files (called time-series data) that record the activity of one or many nerve cells as well as other accompanying data, such as physiological measures, behaviour, or a stimulus that is used to activate the system. This mass of data requires detailed analysis in order to extract the important information and to look for patterns which can provide insight into the way the brain functions. CARMEN (an acronym for Code Analysis, Repository and Modelling for e-Neuroscience) harnesses the power of the web in order to enable researchers to accomplish this analysis and at the same time provide a way to share data, either within private user groups or openly within the science community. Starting in October 2006 a collaborative effort between computer scientists and neuroscientists at 11 UK universities has developed the first version of this resource. Using remote access through a web portal users can upload their data files to the CARMEN platform. At the same time the system allows information about the experiment and the data files (metadata) to be gathered so that others can understand the experiment. Users can also upload software tools that can be used to analyse the data or use tools provided by others in the community. We are also developing ways that the upload can happen whilst the experiment is being performed in order that collaborators can perform recording and analysis at the same time (real time distributed collaboration). Importantly, CARMEN has been developed so that this sharing of the resource is not restricted by the format of the files used to capture the data or the way in which the analysis methods have been written (interoperability). There is also a security structure that allows users to initially work on the files privately but, once the data have been published the data files can be made public so that others can use them. In this way CARMEN can both curate experimental data and provide a resource for secondary analysis or combination of data from different laboratories. This ability to reuse data adds significantly to their value, particularly for experiments that are complex to perform or which employ rare tissue. The current project will maintain and develop the CARMEN portal for a further four years. Importantly the project will support the transition from the initial development stage to a wider community engagement. This will involve Help Desk support for new users, troubleshooting of system problems, and further development of the web portal in response to user feedback. In addition, we will undertake development of new functions to allow specific data types to be uploaded, shared and analysed. In this respect we will focus effort on two main areas: (i) electroencephalogram (EEG) recordings and the brain responses to stimuli (event-related potentials), and (ii) neural activity data that can be extracted from video images. In the latter case this will enable CARMEN to be used for recordings that employ the latest generation of optical recording techniques. Finally, we will develop ways to link into other bioinformatics projects in order that details of brain structure, gene expresion, etc. might be stored and analysed at the same time. This last effort will be assisted by our involvement with the International Neuroinformatics Coordinating Facility (INCF) which was recently established to support links between databases and informatics resources in neuroscience. CARMEN is a unique facility that has addressed the specific issues of storing and analysing neurophysiological data on the web in order to facilitate collaboration and data sharing. With future development of the computing power of the web (cloud computing) it is likely that this will increasingly become the accepted method of research.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
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DOI:
10.1523/jneurosci.3112-11.2011
发表时间:
2011-08-24
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
[Hennig MH, Grady J, van Coppenhagen J, Sernagor E]
通讯作者:
Sernagor E
Non-parametric physiological classification of retinal ganglion cells in the mouse retina
小鼠视网膜视网膜神经节细胞的非参数生理学分类
DOI:
10.1101/407635
发表时间:
2018
期刊:
影响因子:
--
作者:
[Jouty J]
通讯作者:
Jouty J
DOI:
10.3389/fninf.2015.00028
发表时间:
2015
期刊:
Frontiers in neuroinformatics
影响因子:
3.5
作者:
[Muthmann JO, Amin H, Sernagor E, Maccione A, Panas D, Berdondini L, Bhalla US, Hennig MH]
通讯作者:
Hennig MH
DOI:
10.1038/srep42330
发表时间:
2017-02-10
期刊:
Scientific reports
影响因子:
4.6
作者:
[Hilgen G, Pirmoradian S, Pamplona D, Kornprobst P, Cessac B, Hennig MH, Sernagor E]
通讯作者:
Sernagor E
DOI:
10.1113/jphysiol.2013.262840
发表时间:
2014-04-01
期刊:
The Journal of physiology
影响因子:
--
作者:
[Maccione A, Hennig MH, Gandolfo M, Muthmann O, van Coppenhagen J, Eglen SJ, Berdondini L, Sernagor E]
通讯作者:
Sernagor E
共 9 条
CARMEN: Code analysis, repository, and modelling for e-Neuroscience
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批准号:EP/E002331/1
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项目类别:Research Grant
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资助金额:$511.43万
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财政年份:2006
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负责人:Colin Ingram
-
依托单位:
国内基金
海外基金
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科学传播类:基于大科学装置“中国天眼”的AI for science新型科普平台建设
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批准号:T2241020
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项目类别:专项项目
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资助金额:10.00万元
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批准年份:2022
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负责人:毛睿
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依托单位:
SCIENCE CHINA: Earth Sciences
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批准号:41224003
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:魏建晶
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依托单位:
SCIENCE CHINA Chemistry
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批准号:21224001
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:朱晓文
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依托单位:
基于e-Science的民族信息资源融合与语义检索研究
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批准号:61262071
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项目类别:地区科学基金项目
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资助金额:46.0万元
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批准年份:2012
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负责人:甘健侯
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依托单位:
Frontiers of Environmental Science & Engineering
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批准号:51224004
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项目类别:专项基金项目
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资助金额:20.0万元
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批准年份:2012
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负责人:朱建军
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依托单位:
Science China-Physics, Mechanics & Astronomy
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批准号:11224804
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:黄延红
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依托单位:
Journal of Computer Science and Technology
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批准号:61224001
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项目类别:专项基金项目
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资助金额:20.0万元
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批准年份:2012
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负责人:万晓霰
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依托单位:
SCIENCE CHINA Information Sciences
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批准号:61224002
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:宋扉
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依托单位:
SCIENCE CHINA Technological Sciences
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批准号:51224001
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:安梅
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依托单位:
SCIENCE CHINA Life Sciences (中国科学 生命科学)
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批准号:81024803
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2010
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负责人:李纪元
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依托单位: