Training in Genomics Research (TiGeR)

基因组学研究培训 (TiGeR)

• 批准号: 10701685
• 负责人: SREETHARAN KANTHASWAMY
• 金额: $ 25.56万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-09 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10701685
• 关键词: Academic skills; Active Learning; Agreement; Alaskan; Applications Grants; Area; Arizona; Authorization documentation; Awareness; Bachelor' s Degree; Big Data; Bioinformatics; Biological; Biological Sciences; Biology; Biomedical Research; Black race; Characteristics; Communities; Complex; Computer software; Computing Methodologies; Copyright; Creativeness; Critical Thinking; Data; Data Analyses; Data Analytics; Data Collection; Data Science; Data Set; Degree program; Degree requirements; Diagnosis; Disabled Persons; Disease; Doctor of Philosophy; Education; Educational Curriculum; Employment; Ensure; Environment; Ethics; Exercise; Exhibits; Exposure to; FAIR principles; Faculty; Fostering; Foundations; Genes; Genetic; Genome; Genomics; Goals; Guidelines; Health; Hispanic; Human Genome; Indigenous; Individual; Industry; Informatics; Infrastructure; Institution; Instruction; Laboratory Research; Learning; Machine Learning; Master of Science; Mathematics; Medical; Mentors; Modeling; Native Americans; Native Hawaiian or Other Pacific Islander; Natural Sciences; Occupations; Ownership; Persons; Pharmacologic Substance; Population; Process; Programming Languages; Public Domains; Pythons; Qualifying; Reproducibility; Research; Research Activity; Research Ethics; Research Institute; Research Personnel; Research Training; Resources; Schedule; Schools; Science; Sexual and Gender Minorities; Societies; Structure; Student recruitment; Students; Target Populations; Techniques; Training; Training Programs; Underrepresented Populations; Underrepresented Students; Universities; Visualization; Work; authority; biobank; career; career development; career preparation; cloud based; cohort; computational platform; computer science; computerized data processing; data repository; data reuse; data sharing; data visualization; data wrangling; design; disability; disabled students; disadvantaged background; educational atmosphere; epigenomics; ethnic minority population; exome; experience; experimental study; faculty mentor; flexibility; gender minority group; genome sciences; genomic data; hands on research; hands-on learning; human data; human disease; human genomics; human subject protection; improved; insight; interdisciplinary collaboration; laboratory experience; large scale data; lectures; mathematical sciences; medical specialties; next generation; next generation sequence data; novel; predictive modeling; preservation; prevent; professional students; programs; racial minority; recruit; skills; statistics; student participation; student training; summer internship; tool; translational genomics; underrepresented minority student; whole genome

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.

项目总结/摘要 基因组学科学使我们更好地了解基因与环境之间的相互作用， 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、性和性别少数群体以及弱势群体 背景该计划将针对来自这些代表性不足的社区的合格候选人， 计算机科学，数学或统计学学位，有限或没有基因组学数据集工作经验。 TiGeR Track计划的主要目标是为学生在以下领域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有针对性的招聘和保留工作来实现，在两个- 一年的研究生课程，最终获得生物数据科学硕士学位，专注于基因组学 research. TiGeR轨道将被整合到我们最近成立的生物数据科学硕士（MSBDS） 学位课程MSBDS是一个跨学科的计划，利用专业的三大支柱， 亚利桑那州立大学（ASU）西数学与自然科学学院（SMNS）：计算机科学、生命科学 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， TiGeR Track将帮助填补这一空白。除了广泛的课程工作和监督实践研究活动， 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， 基因组学工具集使用公开可用的数据集和存储库。结合对基因组学研究的强烈关注， 大规模的数据分析技能将使我们的TiGeR毕业生成为行业的直接和有价值的贡献者， 基因组科学领域的研究工作。 我们将瞄准，招募和保留一个多元化的学生群体，以发展成为下一代的思想领袖， 基因组学通过招募代表我们机构周围社区的学生，我们将最大限度地提高 在区域一级与周边社区建立更深的联系，并产生一支能够竞争的多元化科学队伍 在全球TiGeR Track计划将提供基因组学科学跨学科合作的模式， SMNS内的教师和其他利益相关者和校外。准备从事基因组学事业 科学，TiGeR轨道毕业生需要熟练的创造力和识别和实现能力的坚实基础 对生物医学和生物科学研究企业具有重要意义的科学目标。在他们任职期间， TiGeR跟踪计划，学生将培养技能，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。虽然强大的跨学科和沉浸式教学结构已经存在， 科学培训MSBDS学位课程内，需要额外的资源来建立基因组学科学 课程，特别是以一种支持来自代表性不足背景的学生的方式。因此，我们 提交这份资助申请