Biostatistics Training in the Omics Era

组学时代的生物统计学培训

• 批准号: 7287503
• 负责人: Spencer V. Muse
• 金额: $ 8.28万
• 依托单位: NORTH CAROLINA STATE UNIVERSITY RALEIGH
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7287503
• 关键词: Biometry; Training

DESCRIPTION (provided by applicant): The training plan in this proposal is designed to provide biostatisticians with the necessary skills to function quickly and effectively in today's multidisciplinary, team-oriented biomedical research environment, applicable to career paths in academia, government, and industry. The training plan takes advantage of existing strengths in interdisciplinary research and training at North Carolina State University (NCSU), and consists of the following major components: 1. A curriculum tailored to the demands of working at the interface of biostatistics and genomics. The coursework will provide rigorous training in statistical theory and practice, but will also include courses in basic genetics, genomic science, and bioinformatics, as well as elective courses tailored to each student's interests. 2. A suite of activities designed to foster interdisciplinary training and collaboration: a. A group of biological labs will, on a rotating basis, host the trainees and training faculty in a scheduled lab meeting tailored to introduce the research in those labs. b. Trainees will have an extended laboratory "genomics immersion" during their second and third years. The lab meetings will facilitate finding good matches between labs and students. c. Required involvement in an interdisciplinary journal club series. d. Immediate assignment to new students of a mentorship team including both biological and statistical faculty. 3. Degree paths leading to the PhD in either Statistics or Bioinformatics, depending on the strengths and interests of the student. Students in both options will share a core set of courses designed to provide essential training in statistics, genomic science, and bioinformatics, and to enhance the sense of student community.

描述（由申请人提供）：本提案中的培训计划旨在为生物统计学家提供必要的技能，以在当今的多学科，面向团队的生物医学研究环境中快速有效地发挥作用，适用于学术界，政府和行业的职业道路。 培训计划利用了北卡罗来纳州立大学（NCSU）的跨学科研究和培训中的现有优势，由以下主要组成部分组成：1。根据生物统计学和基因组学界面工作的要求量身定制的课程。该课程将在统计理论和实践中提供严格的培训，但还将包括基本遗传学，基因组科学和生物信息学的课程，以及针对每个学生兴趣的选择性课程。 2。一套旨在促进跨学科培训和协作的活动：一组生物实验室将在旋转的基础上，在定制的实验室会议上，旨在在这些实验室中介绍研究。 b。学员将在第二年和第三年内进行扩展的实验室“基因组学”。实验室会议将有助于在实验室和学生之间找到良好的比赛。 c。需要参与跨学科期刊俱乐部系列。 d。即时分配指导团队的新学生，包括生物学和统计教师。 3。根据学生的优势和利益，导致统计或生物信息学的博士学位。这两种选择的学生都将共享一组核心课程，旨在提供统计，基因组科学和生物信息学的基本培训，并增强学生社区的意识。