Training in Ophthalmic Statistical Genetics and Bioinformatics
Training in Ophthalmic Statistical Genetics and Bioinformatics
批准号:
8494622
负责人:
Hongzhe Lee
金额:
$16.33万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-01 至 2016-03-31
中文摘要
描述(由申请人提供):流行病学和生物统计学(EB)和基因组学和计算生物学(GCB)研究生小组与宾夕法尼亚大学(宾夕法尼亚大学)医学院眼科系合作,提议发展眼科统计遗传学和生物信息学的博士后和博士后培训计划。宾夕法尼亚州立大学促进了一种学术环境,在这种环境中,基础和临床研究受到鼓励,并被视为对实习生有吸引力的职业道路。该计划将在全国范围内吸引学员;毕业生将被安置在全国其他机构,从而形成一个影响很大的计划。培训计划将包括统计理论、统计遗传学、基因组学、计算生物学和眼科疾病的核心课程;广泛的独立阅读材料;参加杂志俱乐部和专注于眼科统计遗传学和生物信息学的研究会议;EB、GCB和眼科的研究研讨会,以及密切指导的眼科翻译研究经验。博士前实习生课程为期四到五年,结构由EB管理的生物统计学博士学位课程和GCB管理的基因组学和计算生物学博士学位课程提供;博士前实习生将注册这些博士课程之一。为期两到三年的博士后课程是为接受过统计遗传学、生物信息学和/或计算生物学博士级别培训的科学家以及寻求接受统计遗传学、生物信息学和/或计算生物学培训的眼科专业培训的医生而设计的。该计划旨在:1)培训严谨和独立的学术研究人员,能够使用统计学、统计遗传学、计算生物学和生物信息学中的一系列方法来进行眼科疾病的转译研究;2)在眼科统计遗传学和生物信息学导师的指导下提供密集的、有监督的研究经验;3)加强生物统计学、基因组学、计算生物学、生物信息学和眼科学之间的联系:4)并鼓励转译眼科研究。当完全投入使用时(本培训计划的第三年及以后),每年将授予四个奖学金名额。每年将向博士后实习生颁发三份研究金,每年向一名博士后实习生颁发一份研究金。拟议计划的优势是:1)EB和GCB的成功研究培训计划;2)EB、GCB和眼科的参与教员的可用性,他们提供广泛学科的专业知识:3)在参与教员所属的宾夕法尼亚大学的中心和研究所内进行的大量研究项目;以及4)教员致力于合作和多学科的研究和培训。
英文摘要
DESCRIPTION (provided by applicant): The graduate groups in Epidemiology and Biostatistics (EB) and Genomics & Computational Biology (GCB), in conjunction with the Department of Ophthalmology, all of the University of Pennsylvania (Penn) School of Medicine, propose to develop a pre- and post-doctoral training program in ophthalmic statistical genetics and bioinformatics. Penn promotes an academic environment in which basic and clinical research are encouraged and viewed as attractive career paths for trainees. This program will attract trainees nationwide; graduates will be placed in other institutions nationwide, resulting in a high impact program. The training program will consist of core courses in statistical theory, statistical genetics, genomics, computational biology, and ophthalmic disorders; extensive independent readings; participation in journal clubs and research conferences focusing on ophthalmic statistical genetics and bioinformatics; research seminars in the EB, GCB, and Department of Ophthalmology, and closely mentored experiences in translational ophthalmic research. The program for pre-doctoral trainees will be four to five years in duration, with structure provided by the PhD degree program in Biostatistics managed by the EB and the PhD degree program in Genomics & Computational Biology managed by GCB; pre-doctoral trainees will enroll in one of these PhD programs. The two- to three-year post-doctoral program is designed for scientists with PhD-level training in statistical genetics, bioinformatics, and/or computational biology who seek training in the application of their discipline to ophthalmic diseases and for physicians with specialty training in ophthalmology who seek training in statistical genetics, bioinformatics, and/or computational biology. The program is designed to: 1) train rigorous and independent academic investigators able to use the range of approaches available in statistics, statistical genetics, computational biology, and bioinformatics to conduct translational research in ophthalmic disorders; 2) provide intensive, supervised research experiences with mentors in ophthalmic statistical genetics and bioinformatics; 3) strengthen the links between biostatistics, genomics, computational biology, bioinformatics, and ophthalmology: 4) and encourage translational ophthalmic research. When fully operational (year three and beyond of this training program), four fellowship slots will be awarded annually. Three fellowships will be awarded annually to pre-doctoral trainees and one fellowship will be awarded annually to a post-doctoral trainee. Strengths of the proposed program are: 1) the successful research training programs in the EB and GCB; 2) the availability of participating faculty in the EB, GCB, and Department of Ophthalmology, who provide expertise in a wide range of disciplines: 3) numerous research projects conducted within centers and institutes at Penn with which participating faculty are affiliated; and 4) the faculties' commitment to collaborative and multidisciplinary research and training.
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Methods for Integrative Genomic Data Analysis
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批准号:10734227
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资助金额:$45.26万
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财政年份:2018
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批准号:9752369
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资助金额:$43.08万
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批准号:10188561
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资助金额:$43.08万
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批准号:9447252
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资助金额:$46.08万
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批准号:9983111
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资助金额:$46.08万
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财政年份:2017
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负责人:Hongzhe Lee
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依托单位:
Statistical Methods for Microbiome and Metagenomics
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批准号:10707092
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资助金额:$44.9万
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财政年份:2017
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Statistical Methods for Next-Generation Sequence Data
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批准号:8500393
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项目类别:
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资助金额:$29.33万
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财政年份:2012
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负责人:Hongzhe Lee
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依托单位:
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批准号:8643260
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资助金额:$30.36万
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财政年份:2012
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批准号:8237259
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项目类别:
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资助金额:$30.43万
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财政年份:2012
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负责人:Hongzhe Lee
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批准号:8250349
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项目类别:
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资助金额:$16.34万
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财政年份:2011
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负责人:Hongzhe Lee
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依托单位:
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批准号:8675252
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项目类别:
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资助金额:$16.43万
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财政年份:2011
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负责人:Hongzhe Lee
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依托单位:
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批准号:8857469
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项目类别:
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批准号:7912047
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财政年份:2009
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Methods for genomic data with graphical structures
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批准号:7407451
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财政年份:2007
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财政年份:2007
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资助金额:$30.4万
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财政年份:2007
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海外基金