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Training Grant in Genomic Analysis and Interpretation

Training Grant in Genomic Analysis and Interpretation
基因组分析和解释培训补助金
批准号:
8698794
负责人:
Kenneth L Lange
金额:
$31.2万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-07-01 至 2017-06-30
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英文摘要
DESCRIPTION (provided by applicant): Turning the data collected by the recent quantum leap in DNA sequencing technology into useful biomedical knowledge is one of the greatest scientific challenges of the 21st Century. The enormous volume of DNA data now collected cannot be accessed, manipulated, or analyzed without computers. However, the greatest bottlenecks involve software rather than hardware. In spite of current levels of sophistication, we still lack adequate theory and algorithms to perform many fundamental tasks in molecular genetics and genetic epidemiology with speed and precision. It will take a new generation of scientists trained in both the biological and mathematical sciences to push forward our nation's genomic agenda. Few universities have the infrastructure and human resources to mount a genomic analysis training program of the scope possible at UCLA. Our training program's core curriculum includes work in molecular biology, human genetics, probability and statistics, bioinformatics, and biomedical ethics. Students must also prepare for and attend pertinent weekly scientific seminars. The trainees collectively meet on a monthly basis with the program faculty and directors to learn about career matters not covered in regular coursework. Each year we will train 12 predoctoral students drawn preferentially from students in the first half of their doctoral programs. Each trainee will be funded for two years contingent on satisfactory progress. In exceptional cases a third year of funding will be considered. This training grant has brought together faculty from four schools and 14 PhD-granting departments within the university to address the current gap in scientific training. During the years 2002 to 2010, this training grant has successfully completed training of 22 predoctoral students in the art of genomic analysis and interpretation. These doctorates have gone on to productive careers in genomic sciences in industry, government, and academia.
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Modeling, Inference, and Optimization for Genomic and Biomedical Big Data
Modeling, Inference, and Optimization for Genomic and Biomedical Big Data
Modeling, Inference, and Optimization for Genomic and Biomedical Big Data
Statistical Methods for Gene Mapping
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