Training Grant in Computational Genomics

计算基因组学培训补助金

• 批准号: 8126306
• 负责人: LYLE UNGAR
• 金额: $ 23.92万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-16 至 2014-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8126306
• 关键词: Genomics; Grant; Training

DESCRIPTION (provided by applicant): This proposal for a Penn Computational Genomic Training Program is a renewal application of a training grant to support graduate and post-doctoral students in computational biology and genomics. Current problems in computational genomics, such as trying to understand gene regulatory mechanisms or the genetic basis of disease, require .combining disparate sources of knowledge and comparisons across multiple organisms. Such research requires deep understanding of the biology of the organism or phenomenon being studied, and of the experimental techniques and statistical and algorithmic methods available. The purpose of this grant is to train students with these skills and to produce researchers who will be able to address current and future research needs in computational biology. Over the last 15 years, the University of Pennsylvania has built a strong program for training students in genomics, bioinformatics and computational biology. The graduate training support from this grant is increasingly focused on students in Penn's (relatively new) graduate group in Genomics and Computational Biology (GCB), within the Biomedical Graduate Studies (BGS) program in the School of Medicine (SOM), which now has 27 PhD students with 5 students matriculating in 2008. We also continue to support PhD students and post docs in the Biology and the Computer and Information Science (CIS) departments, as well as in other parts of the School of Medicine. The training program of this grant occurs in the context of a strong collaborative research effort spanning the many disciplines involved in computational biology. Trainees benefit from the Penn Genome Frontiers Institute (PGFI), which provides a wide variety of computational and experimental resources including microarry facilities, proteomics facilities, hardware and software for bioinformatics, and training and consulting, and the Penn Center for Bioinformatics (PCBI), which houses and supports a variety of researchers in computationally biology, including GCB students (and hence many training grant students) until they join research laboratories. BGS has a full time staff member in charge of minority recruitment programs. He has aided us in student recruitment, running many events, including minority recruitment weekend. I have attached a detailed description of the BGS minority recruiting efforts. We currently have nine students (both pre- and post-doctoral) supported by the training grant. Of these, two are URMs (African American) and another five are women. PUBLIC HEALTH REVELANCE Training computational biologists is critical to the continued progress of medical research in the U.S. Increasingly, progress in a wide array of medical fields is based on use of computer models to understand how genes and environment affect health. Skilled researchers are needed to use computational biology to develop treatments or cures from diseases ranging from AIDS to cancer.

描述（由申请人提供）：这是宾夕法尼亚大学计算基因组学培训计划的提案，是支持计算生物学和基因组学研究生和博士后的培训补助金的更新申请。计算基因组学目前的问题，如试图理解基因调控机制或疾病的遗传基础，需要将不同的知识来源结合起来，并在多个生物体之间进行比较。这类研究需要对所研究的生物体或现象的生物学、实验技术以及可用的统计和算法方法有深刻的了解。这项资助的目的是培养具有这些技能的学生，并培养能够解决当前和未来计算生物学研究需求的研究人员。在过去的15年里，宾夕法尼亚大学建立了一个强大的项目来培养基因组学、生物信息学和计算生物学方面的学生。这项拨款的研究生培训支持越来越多地集中在宾夕法尼亚大学（相对较新的）基因组学和计算生物学研究生组（GCB）的学生身上，该研究生组在医学院（SOM）的生物医学研究生研究（BGS）项目中，目前有27名博士生，2008年有5名新生入学。我们还继续支持生物和计算机与信息科学系以及医学院其他部门的博士生和博士后。这项资助的培训计划发生在一个强大的合作研究的背景下，跨越了计算生物学中涉及的许多学科。受培训者受益于宾夕法尼亚大学基因组前沿研究所（PGFI），该研究所提供各种各样的计算和实验资源，包括微阵列设施、蛋白质组学设施、生物信息学硬件和软件、培训和咨询，以及宾夕法尼亚大学生物信息学中心（PCBI），该中心为各种计算生物学研究人员提供住所和支持，包括GCB学生（因此许多培训资助学生），直到他们加入研究实验室。英国地质调查局有一名全职工作人员负责少数族裔的招聘项目。他帮助我们招募学生，组织了许多活动，包括少数民族招募周末。我附上了英国地质调查局招募少数族裔工作的详细描述。目前有9名学生（包括博士生和博士后）获得培训资助。其中，两名是非裔美国人，另外五名是女性。公共卫生相关性训练计算生物学家对美国医学研究的持续进步至关重要，越来越多的医学领域的进步是基于使用计算机模型来理解基因和环境如何影响健康。需要熟练的研究人员使用计算生物学来开发从艾滋病到癌症等疾病的治疗方法。