Nutrition, Biostatistics and Bioinformatics

描述（由申请人提供）：我们的目标是在这个延续的建议是培养统计和计算为导向的个人（生物统计学家，统计学家，电气工程师，计算机科学家等）。作为独立的研究人员在一个多学科的环境中专注于癌症研究，研究人员谁是营养和癌症的基础知识培训。为了实现这一目标，我们组建了一个专门从事生物统计学/统计学，生物信息学，计算机科学，基因组信号处理以及营养和癌症生物学的团队。 1)培训是多学科的。 a）、 我们专注于在营养和癌症的生物学中培养统计和计算导向的个人，培养了解营养和癌症之间关系的潜在作用机制的研究人员。这种理解将使我们的学员能够在最高水平上为该领域的实验设计和分析做出贡献，并开发出真正适合实验数据的微调统计方法。 B） 培训将包括通过3个实验室的初始轮换，以及与德克萨斯州A&M基因组学机构的轮换，该机构的联合主任是我们培训计划中的饮食化学预防癌症生物学家，然后在一个实验室进行密集的长期培训。 c）、 我们现在包括专门针对我们计划的正式培训，强调营养和新兴技术及其应用的基本原则。 2)每个学员将至少有两名导师。 a）、 研究癌症病因和预防的营养学家。实习生将有望成为营养学家实验室的正式成员，包括在实验室花费大量时间，参加实验室会议，为实验室的研究生和博士后研究人员提供咨询，监督实验数据的分析，并最终提出新的问题和方法。 B） 生物统计学家，电气工程师或计算机科学家。我们的团队包括来自营养与癌症的实验数据分析专家，特别是纵向性质的数据;高通量表达数据分析，DNA测序和表型数据;蛋白质组学数据分析;基因调控网络的构建和控制等。

DESCRIPTION (provided by applicant): Our goal in this continuation proposal is to train statistically and computationally oriented individuals (Biostatisticians, Statisticians, Electrical Engineers, Computer Scientists, etc.) to function as independent researchers in a multidisciplinary environment focusing on cancer research, researchers who are trained in the fundamentals of Nutrition and Cancer. To achieve this goal we have assembled a team specializing in Biostatistics/Statistics, Bioinformatics, Computer Science, Genomic Signal Processing and the biology of Nutrition and Cancer. 1) The training is fully multidisciplinary. a) We focus on training statistically and computationally oriented individuals in the biology of Nutrition and Cancer, creating researchers who understand the underlying mechanisms of action in the relationship between Nutrition and Cancer. Such understanding will allow our trainees to contribute at the highest level to the design and analysis of experiments in the area, and to develop fine-tuned statistical methods truly appropriate for the experimental data. b) The training will include initial rotations through 3 laboratories, as well as a rotation with the Texas A&M Genomics Facility, the co-director of which is a diet chemoprevention cancer biologist in our training program, followed by intensive long-term training in a single laboratory. c) We now include formal training specific to our program that emphasizes Fundamental Principles of Nutrition and Emerging Technologies and their Applications. 2) Each trainee will have at least two mentors. a) A Nutritionist whose research focuses on cancer etiology and prevention. The trainee will be expected to become a full member of the nutritionist's laboratory, including spending significant time in the laboratory, attending laboratory meetings, consulting for the graduate students and postdoctoral researchers in the laboratory, supervising the analysis of experimental data and eventually posing new problems and approaches. b) A Biostatistician, an Electrical Engineer or a Computer Scientist. Our team includes experts in the analysis of experimental data arising from Nutrition and Cancer, particularly those of a longitudinal nature; the analysis of high throughput expression data, DNA sequencing and phenotype data; the analysis of proteomics data; the construction and the control of gene regulatory networks, etc.