Training in Genomics Research (TiGeR)

项目摘要/摘要 基因组学科学让我们更好地了解基因和环境之间的相互作用，从而 使研究人员能够找到更好的方法来改善健康和预防疾病。基因组学研究中的培训 (TIGER)Track将吸引来自代表性不足人群的学生，例如来自种族和/或少数民族的学生 群体、残疾人、性少数群体和性别少数群体以及弱势群体 背景。该计划将以来自这些代表不足的社区的合格候选人为目标， 计算机科学、数学或统计学学位，有有限的或没有处理基因组数据集的经验。 Tiger Track计划的主要目标是为学生在未来成为成功的计算专家做好准备 基因组学研究。这一目标将通过我们在两个部门内有针对性的招聘和留住工作来实现- 一年制研究生课程，重点是基因组学，获得生物数据科学硕士学位 研究。Tiger Track将被整合到我们最近设立的生物数据科学硕士学位(MSBDS)中 学位课程。MSBDS是一个跨学科的计划，利用了专业的三大支柱 亚利桑那州立大学数学与自然科学学院(亚利桑那州立大学)西部：计算机科学，生命 科学和数学。然而，MSBDS目前既没有关注基因组学研究，也没有关注生物信息学，而且 老虎赛道将有助于填补这一空白。除了广泛的课程工作和受监督的实践研究活动外， Tiger的学生将接受Anvil的培训--这是一个基于云的计算基因组学平台以及其他 使用公开可用的数据集和存储库的基因组学工具包。将对基因组学研究的强烈关注与 大规模数据分析技能将使我们的Tiger毕业生成为行业和 基因组学科学领域的研究工作。 我们将瞄准、招募和留住不同类型的学生，以发展成为下一代的思想领袖 基因组学科学。通过招收代表我们机构周围社区的学生，我们将最大限度地 在区域层面与周边社区建立更深层次的联系，培养出一支具有竞争力的多元化科学队伍 全球范围内。Tiger Track计划将为基因组学科学中的跨学科合作提供一个模式 SMN内部的教职员工和校园内外的其他利益相关者。准备好从事基因组学事业 科学方面，老虎赛道的毕业生需要有扎实的基础技能和创造力，以及识别和实现的能力 对生物医学和生物科学研究事业具有重要意义的科学目标。在他们的整个任期内 老虎追踪计划，学生将发展技能来利用和分析来自公共领域的基因组数据集 研究实验室设置。虽然已经为数据提供了强大的跨学科和身临其境的教学结构 科学培训在MSBDS学位计划中，需要额外的资源来建立基因组学科学 课程，特别是以一种支持代表不足背景的学生的方式。因此，我们是 提交这份拨款申请。

PROJECT SUMMARY/ABSTRACT Genomics science gives us a better understanding of the interactions between genes and the environment, thus allowing researchers to find better ways to improve health and prevent diseases. The Training in Genomics Research (TiGeR) Track will engage students from under-represented populations, such as those from racial and/or ethnic minority groups, people with disabilities, those from sexual and gender minority groups, and those from disadvantaged backgrounds. The program will target qualified candidates from these under-represented communities with undergraduate degrees in computer science, mathematics, or statistics with limited or no experience working with genomics datasets. The TiGeR Track program’s main goal is to prepare students for successful careers as computational experts in genomics research. This goal will be accomplished through our targeted recruitment and retention efforts within the two- year graduate curriculum culminating in a master’s degree in biological data science with a concentration on genomics research. The TiGeR Track will be integrated into our recently established Master’s in Biological Data Science (MSBDS) degree program. The MSBDS is an interdisciplinary program that capitalizes on the three pillars of specialty within the School of Mathematical and Natural Sciences (SMNS) at Arizona State University (ASU) West: computer science, life sciences, and mathematics. However, the MSBDS currently has no focus on genomics research nor bioinformatics, and the TiGeR Track will help fill this gap. In addition to extensive course work and supervised hands-on research activities, the TiGeR students will be trained in AnVIL - a cloud-based platform for computational genomics as well as other genomics toolsets using publicly available datasets and repositories. Combining a strong focus on genomics research and large-scale data analytics skills will equip our TiGeR graduates to be immediate and valuable contributors to industry and research jobs in the genomics science sector. We will target, recruit and retain a diverse pool of students to develop into the next generation's thought leaders in genomics sciences. By recruiting students that represent the communities surrounding our institution, we will maximize deeper ties with surrounding communities at the regional level and generate a diverse science workforce that can compete globally. The TiGeR Track program will provide a model of interdisciplinary collaboration in genomics sciences among faculty within SMNS and other stakeholders on and off-campus. To be prepared to undertake a career in genomics science, the TiGeR Track graduates require a strong foundation of skilled creativity and the ability to identify and achieve scientific goals of significance to the biomedical and biosciences research enterprise. Throughout their tenure in the TiGeR Track program, the students will develop skills to utilize and analyze genomic datasets from the public domain in a research laboratory setting. While a robust interdisciplinary and immersive instruction structure is already present for data science training within the MSBDS degree program, additional resources are required to establish the genomics science curriculum, particularly in a way that will support students from under-represented backgrounds. Hence, we are submitting this grant application.