Training grant in computational biology

 描述（由申请人提供）：宾夕法尼亚大学计算基因组学培训资助（PENN CG-TG）计划的目标是培养下一代定量基因组科学家，他们将开发新的算法和定量模型，以解决使用基因组技术的生物医学问题。动态功能数据基因组学的最新发展以及1,000美元的基因组下一代测序正在加速对训练有素的计算基因组学家的需求。宾夕法尼亚大学自1994年以来一直在培养计算基因组学家，并自2001年以来创建了一个独立的博士学位课程。利用宾夕法尼亚大学研究和培训项目的丰富经验和资源，PENN CG-TG将在博士课程的第3年和第4年培训8名博士预科学生，通过核心课程，研讨会，指导和研讨会支持他们的培训。学生将学习基础知识，深入了解算法和建模，学习生物学背景，生成关键生物医学问题的计算模型，学习交流和传播定量材料，并了解大规模数据分析中出处和完整性的重要性。

 DESCRIPTION (provided by applicant): The goal of the Penn Computational Genomics Training Grant (PENN CG-TG) Program is to train the next generation of quantitative genomic scientists who will develop new algorithms and quantitative models to address biomedical problems using genomic technologies. Recent developments in genomics of dynamic functional data as well as the $1,000 genome next-generation sequencing are accelerating the need for well-trained computational genomicists. Penn has trained computational genomicists since 1994 and created an independent PhD degree program since 2001. Leveraging extensive experience and resources of Penn's research and training programs, PENN CG-TG will train 8 pre-doctoral students in year 3 and 4 of their PhD program, supporting their training with core courses, seminars, mentoring, and symposiums. Students will learn foundational knowledge to understand algorithms and modeling at a deep level learn biology background to generate computational models of key biomedical problems, learn to communicate and disseminate quantitative material, and understand the importance of provenance and integrity in large-scale data analysis.