BMI Bioinformatics Training Grant

描述(申请人提供)：随着基因组时代的到来，生物学的研究已经发生了变化，允许在许多基因组或生物体一生的整个发育过程中提出问题。随着答案开始出现，“基因组学驱动”的问题清单继续加长，从如何最好地利用高分辨率结构研究的知识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品联系起来。从基因组计划和他们所播种的大规模、高通量的实验环境中可以有效地访问现在可用的海量数据，绝对依赖于计算存储、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洞察力结合起来，提供了这些能力。 拟议的生物信息学和计算生物学博士前培训描述了一个多学科的研究生培训方案，侧重于计算机科学/数学和生物学的接口，并解决了研究生培训中的一个严重缺陷。在加州大学旧金山分校，这项培训设在生物和医学信息学项目中，目标是关注对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，这些问题必须被翻译到其中。该计划的生物信息学培训同时建立在对基本生物学问题应用定量方法的基础上。作为数量生物学伞形计划的一部分，加州大学旧金山分校的生物信息学培训参与了一个多学科和协作的环境，其中包括从分子到复杂系统层面的生物学、生物物理学和化学的研究。以一所致力于卓越的研究和教学以及在生物研究的各个层面进行创新的机构为中心，我们相信我们的培训计划非常适合在这一快速发展和至关重要的领域培养下一代领导者。

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.