Computation, Bioinformatics, and Statistics (CBIOS) Training Program

描述（由申请人提供）：基因组数据正在改变医学和基础科学科学家进行研究的方式。基因组科学的进步需要新一代的科学家具有强大的计算和统计技能，并能够有效地与实验学家互动。拟议的宾夕法尼亚州立大学计算，生物信息学和统计学（CBIOS）培训计划将培养一批研究人员进行创新思考，并跟上高通量基因组技术快速发展的步伐。该项目的教师是跨学科的，高度协作，拥有计算、生物信息学、统计学、功能、医学和进化基因组学方面的专业知识。学习这些跨学科的技能将使学员在比较，系统，统计和医学基因组学的新兴和快速发展领域的未来职业竞争力。CBIOS计划的教育目标是在受训人员中产生以下内容：1。深入了解科学过程中的假设检验。 2.从理论到数据再返回的能力。 3.熟练使用计算和统计工具获取高通量数据。4.整合和创新高通量数据的计算和统计分析的能力。5.卓越的跨学科科学交流，包括计算和生物信息学研究的伦理影响。 6.领导跨学科研究团队的能力CBIOS培训计划将通过一套现有的核心和选修课程沿着新的实习课程来实现这些目标，所有这些课程都与期刊俱乐部和研讨会系列相结合。该计划将通过邀请研讨会发言人和务虚会加强专业发展，并将专门培养学员的沟通技巧，使基因组学研究传播给广大受众。博士前学员将在他们的研究生课程的早期被选中进行为期两年的强化培训。在为期五年的赠款期内，将对总共15名受训人员（10名国家卫生研究所和5名支助股）进行培训。支持这一培训计划的教师每年的直接费用为6500万美元，因此为学生的研究经验和机会提供了强大的指导基础。

DESCRIPTION (provided by applicant): Genomic data are transforming how scientists in medicine and basic science conduct research. The advancement of genome science requires a new generation of scientists with strong computational and statistical skills and the ability to effectively interact with experimentalists. The proposed Penn State Computation, Bioinformatics, and Statistics (CBIOS) Training Program will prepare a cadre of investigators to think innovatively and keep pace with the quickly evolving landscape of high throughput genomic technologies. The program faculty are interdisciplinary and highly collaborative, with expertise in computation, bioinformatics, statistics, functional, medical, and evolutionary genomics. Learning these discipline-crossing skills will make trainees competitive for future careers in emerging and rapidly advancing fields of comparative, systems, statistical and medical genomics. The educational objectives of the CBIOS program are to engender in the trainees the following: 1. A thorough understanding of hypothesis testing in the scientific process. 2. The ability to work from theory to data and back. 3. Fluency in the use of computational and statistical tools for high throughput data. 4. The ability to integrate and innovate computational and statistical analysis of high throughput data. 5. Excellence in cross-disciplinary scientific communication including ethical implications of computational and bioinformatics research. 6. The ability to lead cross-disciplinary research teams The CBIOS training program will accomplish these objectives through a set of existing core and elective courses along with a new practicum course, all of which are integrated with a journal club and seminar series. The program will enhance professional development through invited seminar speakers and retreats, and will specifically develop trainees' communication skills to enable dissemination of genomics research to a broad audience. Predoctoral trainees will be selected early in their graduate program for two years of intensive training. A total of 15 trainees (10 NIH and 5 PSU supported) will be trained during a five-year granting period. The faculty supporting this training program have a combined annual research funding base of $65 million direct costs, and thus offer a robust mentoring foundation for student research experience and opportunities.