Nutrition, Biostatistics and Bioinformatics

描述（由申请人提供）：我们的目标是培养以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），在多学科环境中作为独立的研究人员，专注于癌症研究，研究人员接受过营养和癌症基础知识的培训。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。

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.