Training Grant in Computational Genomics

计算基因组学培训补助金

• 批准号: 8288232
• 负责人: LYLE UNGAR
• 金额: $ 24.12万
• 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/8288232
• 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）：本提案为宾夕法尼亚大学计算基因组培训计划是一个培训补助金的更新申请，以支持研究生和博士后学生在计算生物学和基因组学。当前计算基因组学的问题，如试图了解基因调控机制或疾病的遗传基础，需要结合不同的知识来源和多个生物体之间的比较。这种研究需要深入了解所研究的生物体或现象的生物学，以及现有的实验技术和统计及算法方法。该补助金的目的是培养学生的这些技能，并产生研究人员谁将能够解决当前和未来的研究需求，在计算生物学。在过去的15年里，宾夕法尼亚大学已经建立了一个强大的计划，培养学生在基因组学，生物信息学和计算生物学。从这个补助金的研究生培训支持越来越多地集中在宾夕法尼亚大学的（相对较新的）研究生组在基因组学和计算生物学（GCB）的学生，在医学院（SOM）的生物医学研究生学习（BGS）计划，现在有27名博士生与5名学生在2008年录取。我们还继续支持生物学和计算机与信息科学（CIS）部门以及医学院其他部门的博士生和博士后。该补助金的培训计划发生在一个强大的合作研究工作的背景下，跨越了涉及计算生物学的许多学科。学员受益于宾夕法尼亚大学基因组前沿研究所（PGFI），它提供了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，以及培训和咨询，以及宾夕法尼亚大学生物信息学中心（PCBI），它容纳和支持各种计算生物学研究人员，包括GCB学生（因此也包括许多培训补助金学生），直到他们加入研究实验室。BGS有一名全职工作人员负责少数民族招聘计划。他帮助我们招生，举办许多活动，包括少数民族招生周末。我附上了BGS少数族裔招募工作的详细说明。我们目前有9名学生（包括前和博士后）由培训补助金支持。其中两名是非裔美国人，另外五名是妇女。 培训计算生物学家对美国医学研究的持续发展至关重要。越来越多的医学领域的进展是基于使用计算机模型来了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或治愈方法。