BMI Bioinformatics Training Grant

BMI 生物信息学培训补助金

• 批准号: 6755167
• 负责人: PATRICIA CLEMENT BABBITT
• 金额: $ 19.7万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6755167
• 关键词: BMI; Bioinformatics; Training; Grant

DESCRIPTION (provided by applicant): With the advent of the genomic era, the study of biology has been transformed, allowing questions to be asked across the breadth many genomes or the entire developmental span of an organism's lifetime. As answers begin to come available, the list of "genomics-driven" questions continues to lengthen, ranging from how best to leverage the knowledge from high resolution structural studies into methods for treating human disease to how to associate an abnormal phenotype with a specific protein product. Effective access to the enormous amounts of data now available from both the genome projects and the large-scale, "high-throughput" experimental environment they have seeded is absolutely dependent on computational storage, annotation and analysis. The relatively new field of Bioinformatics provides those capabilities by coupling computational theory and tools with the biological insight required to turn these data into information and knowledge. The proposed Predoctoral Training in Bioinformatics and Computational Biology describes a multidisciplinary graduate training program focused on the interface of computer science/mathematics and biology and addresses what has become a critical deficit in graduate training. At UCSF, this training is sited in a Program in Biological and Medical Informatics, targeting a faculty and student body concerned with computational analysis of both the biological questions and the healthcare environment into which their must be translated. Bioinformatics training in this program is simultaneously founded on the application of quantitative methods to basic biological questions. As part of the umbrella Program in Quantitative Biology, Bioinformatics training at UCSF partakes of a multidisciplinary and collaborative environment that includes the study of biology, biophysics, and chemistry from the molecular to the complex systems level. Centered in an institution with on-going commitments to excellence in research and teaching and to innovation at every level of biological inquiry, we believe that our training program is ideally suited to provide the next generation of leaders in this fast-moving and critically important area.

描述（由申请人提供）：随着基因组时代的出现，生物学的研究已经改变，可以在许多基因组或生物体一生的整个发展范围内提出问题。随着答案开始可用，“基因组驱动的”问题的列表继续延长，从如何最好地利用高分辨率结构研究到治疗人类疾病的方法到如何将异常表型与特定蛋白质产物相关联。从基因组项目和他们所播种的大型“高通量”实验环境中，有效访问现在可从基因组项目和大规模的“高通量”实验环境中获得的数据绝对取决于计算存储，注释和分析。相对较新的生物信息学领域通过将计算理论和工具与将这些数据转化为信息和知识所需的生物学见解来提供这些能力。 拟议的生物信息学和计算生物学领域培训介绍了一项多学科研究生培训计划，重点是计算机科学/数学和生物学的界面，并解决了研究生培训中的重大赤字。在UCSF，该培训位于生物学和医学信息学方案中，针对与必须翻译必须翻译的生物学问题和医疗保健环境的计算分析的教职员工和学生团体。该计划中的生物信息学培训同时建立在定量方法中的基本生物学问题上。作为定量生物学伞计划的一部分，在UCSF的生物信息学培训中，包括生物学，生物物理学和化学研究的多学科和协作环境的培训，从分子到复杂系统水平。以持续的研究和教学卓越的承诺为中心，在各个级别的生物询问方面都对卓越的创新进行了承诺，我们认为我们的培训计划非常适合为下一代领导者提供这个快速发展且至关重要的领域。