CAREER: Sparse-sampling inference for functional proteomics, metabolomics and ionomics
CAREER: Sparse-sampling inference for functional proteomics, metabolomics and ionomics
批准号:
1501900
负责人:
Olga Vitek
金额:
$19.46万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-27 至 2017-03-31
中文摘要
东北大学获得NSF教师早期职业发展(CAREER)计划的资助,用于开发功能蛋白质组学,代谢组学和离子组学的统计和计算工具。本研究的主要目标是:(1)从高通量实验中准确鉴定和定量蛋白质、代谢物和离子,这些实验产生了以质谱和核磁共振谱形式存在的稀疏数据;(2)联合解释和整合这些稀疏异构数据集;(3)全局性和靶向性后续实验的优化设计,该方案的创新之处在于它紧密考虑了蛋白质组学、代谢组学和离子组学的生物学和技术特点。因此,它将提高调查的敏感性、准确性和解释范围。所开发的推理方法和相关的开放源代码软件的实用性将在S. cerevisiae,它整合了异质转录组学、蛋白质组学、代谢组学和离子组学数据集。该计划将有助于弥合生物学家,化学家和统计学家之间的沟通鸿沟。该项目将通过提供与用户社区相关的案例研究,通过在普渡大学的科学会议和跨学科课程中提供跨学科教程和短期课程,以及通过为跨部门的研究生和本科生提供指导,促进计算思维和正确使用数学方法。
英文摘要
Northeastern University is awarded a grant by the NSF Faculty Early CareerDevelopment (CAREER) Program to develop statistical and computationaltools for functional proteomics, metabolomics and ionomics. Theproposed research will address three inter-related aims: (1) Accurateidentifications and quantifications of proteins, metabolites and ionsfrom high-throughput experiments, which generate sparse data in formof mass and nuclear magnetic resonance spectra; (2) Jointinterpretation and integration of these sparse heterogeneous datasets;and (3) Optimal design of global and targeted follow-up experiments.The proposed program is innovative in that it closely accounts for thebiological and technological characteristics of proteomics,metabolomics and ionomics. As the result, it will increase thesensitivity, accuracy, and scope of interpretation of theinvestigations. The utility of the developed methods of statisticalinference, and of the associated open-source software, will bedemonstrated on functional screens of S. cerevisiae, which integrateheterogeneous transcriptomic, proteomic, metabolomic and ionomicdatasets. The proposed program will contribute to bridging the communication gapbetween biologists, chemists and statisticians. The project will promote thecomputational thinking, and the appropriate use of statisticalmethodology, by making available case studies that are relevant to theuser community, by offering interdisciplinary tutorials and shortcourses at scientific meetings and interdisciplinary courses atPurdue, and by providing mentoring for graduate and undergraduate students acrossdepartments.
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专著(0)
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会议论文
ABI Innovation: Scalable and Agile Analysis of Mass Spectrometry Experiments
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批准号:1759736
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项目类别:Standard Grant
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资助金额:$79.59万
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财政年份:2018
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负责人:Olga Vitek
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依托单位:
CAREER: Sparse-sampling inference for functional proteomics, metabolomics and ionomics
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批准号:1054826
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项目类别:Continuing Grant
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资助金额:$54.68万
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财政年份:2011
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负责人:Olga Vitek
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依托单位:
国内基金
海外基金
基于Sparse-Land模型的SAR图像噪声抑制与分割
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批准号:60971128
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项目类别:面上项目
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资助金额:30.0万元
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批准年份:2009
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负责人:侯彪
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依托单位: