Computation, Bioinformatics, and Statistics (CBIOS) Training Program

描述(由申请者提供)：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科学家具有强大的计算和统计技能，以及与实验者有效互动的能力。拟议的宾夕法尼亚州立大学计算、生物信息学和统计(CBIOS)培训计划将培养一批研究人员，以创新思维并跟上快速发展的高通量基因组技术格局。该计划的教职员工是跨学科和高度协作的，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受训者在比较、系统、统计和医学基因组学等新兴和快速发展的领域对未来的职业具有竞争力。CBIOS计划的教育目标是使受训人员：1.对科学过程中的假设检验有透彻的理解。2.从理论到数据再到数据的能力。3.熟练使用计算和统计工具处理高吞吐量数据。4.整合和创新高通量数据的计算和统计分析能力。5.在跨学科科学交流方面的卓越表现，包括计算和生物信息学研究的伦理影响。 6.领导跨学科研究小组的能力CBIOS培训方案将通过一套现有的核心和选修课程以及一个新的实践课程来实现这些目标，所有这些课程都与期刊俱乐部和系列研讨会相结合。该计划将通过受邀的研讨会演讲者和务虚会来促进职业发展，并将专门培养学员的沟通技能，使基因组研究能够向广泛的受众传播。博士前实习生将在研究生课程的早期阶段被选中，进行两年的强化培训。在为期五年的授权期内，总共将有15名受训人员(10名国家卫生研究院和5名PSU得到支助)接受培训。支持这一培训计划的教职员工每年的研究资金基数总计为6500万美元，直接成本为6500万美元，因此为学生的研究经验和机会提供了坚实的指导基础。

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.