Predoctoral Biostatistics Training in Genesis/Genomics
创世纪/基因组学博士前生物统计学培训
基本信息
- 批准号:7886014
- 负责人:
- 金额:$ 26.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-03 至 2011-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Goals: The JHU Department of Biostatistics proposes a joint MHS-PhD built upon the existing Bioinformatics
MHS and Biostatistics PhD programs. The program's goal is to produce graduates that will be full scientific
partners on interdisciplinary biomedical research teams. This will be achieved by integrating rigorous training
in biostatistics and bioinformatics design and analysis methods with training and direct participation in
translational and cross-disciplinary research in molecular and population genetics. Strengths: The JHU
biomedical research and education environment is internationally recognized in all areas required to meet
our goal. Our program will be built on the successful PhD program in Biostatistics and MHS program in
Bioinformatics, and will draw additional strength from the PhD programs in Applied Mathematics & Statistics,
Human Genetics, and Genetic Epidemiology. Institutional support includes an outstanding biocomputing
infrastructure and a dry laboratory space that provides a common intellectual and physical environment for
researchers in all computational aspects of molecular and population genetics to work together with our
trainees. Our methodological core faculty has an established record of research in a broad spectrum of
design and data analysis problems in genetics and genomics, often coupled with a high-impact substantive
research agenda, and a demonstrated record of collaboration and contributions to translational research.
Plan: The integrated MHS/PhD program has a straightforward overall structure, consisting of four parallel
sequences of courses in Genetics, Computing, Statistical Methods, and Theory, complemented by a
laboratory rotation, an internship-based MHS capstone project and the PhD theses. The proposed
coursework allows for considerably increased flexibility compared to standard biostatistics curricula and
includes substantial additional interdisciplinary training. Training grant support will be provided for up to six
trainees per year. Each will be supported for the initial 3 years; research assistantships will fund the
remaining period. The program will be housed in the Department of Biostatistics and be supported by faculty
in the Departments of Biostatistics, Applied Mathematics & Statistics, Epidemiology, Molecular Microbiology
& Immunology, and Oncology.
目标:JHU生物统计系建议在现有生物信息学的基础上建立一个联合MHS-PhD
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Rafael Angel Irizarry其他文献
Rafael Angel Irizarry的其他文献
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{{ truncateString('Rafael Angel Irizarry', 18)}}的其他基金
Next Generation Computational Tools for Functional Genomics
下一代功能基因组学计算工具
- 批准号:
9979396 - 财政年份:2020
- 资助金额:
$ 26.11万 - 项目类别:
Next Generation Computational Tools for Functional Genomics
下一代功能基因组学计算工具
- 批准号:
10666501 - 财政年份:2020
- 资助金额:
$ 26.11万 - 项目类别:
Next Generation Computational Tools for Functional Genomics
下一代功能基因组学计算工具
- 批准号:
10267687 - 财政年份:2020
- 资助金额:
$ 26.11万 - 项目类别:
Next Generation Computational Tools for Functional Genomics
下一代功能基因组学计算工具
- 批准号:
10448436 - 财政年份:2020
- 资助金额:
$ 26.11万 - 项目类别:
Data Analysis Tools for Emerging High-Throughput Technologies
适用于新兴高通量技术的数据分析工具
- 批准号:
10461727 - 财政年份:2019
- 资助金额:
$ 26.11万 - 项目类别:
Data Analysis Tools for Emerging High-Throughput Technologies
适用于新兴高通量技术的数据分析工具
- 批准号:
9922327 - 财政年份:2019
- 资助金额:
$ 26.11万 - 项目类别:
Data Analysis Tools for Emerging High-Throughput Technologies
适用于新兴高通量技术的数据分析工具
- 批准号:
10159937 - 财政年份:2019
- 资助金额:
$ 26.11万 - 项目类别:
Data Analysis Tools for Emerging High-Throughput Technologies
适用于新兴高通量技术的数据分析工具
- 批准号:
10612937 - 财政年份:2019
- 资助金额:
$ 26.11万 - 项目类别:
Biomedical Data Science Online Curriculum on HarvardX
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- 批准号:
8829975 - 财政年份:2014
- 资助金额:
$ 26.11万 - 项目类别:
Biomedical Data Science Online Curriculum on HarvardX
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9130901 - 财政年份:2014
- 资助金额:
$ 26.11万 - 项目类别:
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