Statisics In Microbiology, Infectious Diseases & Bioinformatics

描述（由申请人提供）：本培训计划的目标是培养生物统计学家在开发新的跨学科科学研究中发挥领导作用。为此，将提供统计学和微生物学学科的严格培训，并提供生物信息学的跨学科培训。该培训计划将提供一个加强现有合作的结构，并培养新一代生物统计学家，以推进生物医学和临床研究。 它将支持生物统计理论和与包括微生物学、传染病和生物信息学在内的基础生物医学研究相关的不断发展的统计方法方面的博士培训。我们的方法的关键是，在生物统计学博士课程的学员，或在统计学博士课程的浓度，专门从事生物统计学，将被要求承担：1）在第一年的一般微生物学课程的共同核心工作，包括实验室组成部分; 2）课程工作与计算机实验室在统计方法的生物信息学和微生物学统计研讨会，无论是在第一年或第二年;（3）两次夏季实验室轮换。在第1年年底的实验室轮换将在微生物学实验室，并在第2年将在同一个微生物学实验室，在不同的微生物学实验室，或在生物信息学计算机实验室，或在基因组学实验室结合计算生物学和生物信息学与生物学。轮换的选择将取决于受训者不断发展的兴趣。在微生物学、传染病和生物信息学方面还有其他实验室轮换和课程，并已确定了这些领域的轮换和共同导师。微生物学的研究生和博士后实习生将作为同行导师和实验室导师参与。微生物学或密切相关的项目的博士生将有资格获得1年的支持，以进行生物统计学培训，以进一步开展论文研究。对于统计学和生物统计学博士生，论文顾问将来自生物统计学系和统计与精算科学系，共同顾问将来自微生物学系，传染病系，生物信息学和计算生物学中心以及比较基因组学中心。25名核心教师包括16名统计科学家和9名生物科学家，他们都坚定地致力于这项合作和计划。在补助金发放的5年中，每年至少招聘2名新学员。

DESCRIPTION (provided by applicant): The goal of this training program is to train biostatisticians to take a leadership role in developing new interdisciplinary scientific research. This will be achieved by providing rigorous training in the disciplines of statistics and microbiology, and also providing interdisciplinary training in bioinformatics. This training program will provide a structure that will strengthen existing collaborations, and train a new generation of biostatisticians to advance biomedical and clinical research. It will support PhD training in biostatistical theory and associated evolving statistical methodologies related to basic biomedical research including microbiology, infectious diseases and bioinformatics. Key to our approach is that trainees in the PhD program in Biostatistics, or in a concentration of the PhD program in Statistics which specializes in biostatistics, will be required to undertake: 1) a common core of course work in general microbiology in year 1, including a laboratory component; 2) course work with computer laboratory in statistical methods for bioinformatics and a seminar in statistics in microbiology, in either year 1 or year 2; and 3) two summer laboratory rotations. The laboratory rotation at the end of year 1 will be in a microbiology laboratory, and in year 2 will be either in the same microbiology laboratory, in a different microbiology laboratory, or in a bioinformatics computer laboratory, or in a genomics laboratory combining computational biology and bioinformatics with biology. The choice of rotations will depend on the trainee's evolving interests. Additional laboratory rotations and courses in microbiology, infectious diseases and bioinformatics are available and rotations and co-mentors have been identified in these areas. Graduate students and postdoctoral trainees in Microbiology will be involved as peer-mentors and laboratory mentors. PhD students in microbiology, or a closely related program, will be eligible for 1 year of support to pursue training in biostatistics to further their thesis research. For statistics and biostatistics PhD trainees, thesis advisors will be from the Department of Biostatistics and the Department of Statistics & Actuarial Science, and co-advisors will be from the Department of Microbiology, Division of Infectious Diseases, Center for Bioinformatics and Computational Biology, and the Center for Comparative Genomics. The 25 core faculty members consist of 16 statistical scientists and 9 biological scientists who are all firmly committed to this collaboration and program. At least 2 new trainees will be recruited in each of the 5 years of the grant.