课题基金 / 基金详情

MRI: Acquisition of a genomic sequencer within a shared resource facility for interdisciplinary sciences and training at Oklahoma State University

MRI: Acquisition of a genomic sequencer within a shared resource facility for interdisciplinary sciences and training at Oklahoma State University
MRI:在俄克拉荷马州立大学的跨学科科学和培训共享资源设施内购买基因组测序仪
批准号:
1626257
负责人:
Peter Hoyt
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-08-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
俄克拉荷马州立大学(OSU)获得了Illumina NextSeq500基因组测序仪。测序技术是STEM课程的关键,该课程包括所有学生水平的生物信息学。NextSeq将提供实践的本科生研究体验。该工具将用于通过生物信息学证书研究生计划加强多样化、具有全球竞争力的STEM劳动力的发展,该计划旨在提高研究生的学术和劳动力就业能力。该项目将加强来自生物化学和分子生物学、植物学、综合生物学、植物和土壤科学、动物科学、兽医科学、微生物学、植物和土壤科学、昆虫学、动物学等多个学科的教师的研究。该仪器将极大地提高在食品污染取证的元基因组学研究中识别病原体的能力,包括通过国家微生物法医研究所食品和农业生物安全计划改善国家安全,该计划寻求快速识别与生物恐怖主义有关的病原体。该项目将通过加强小麦、牛肉和许多其他重要农业作物和动物的遗传标记育种研究,造福社会。现有的需要大量测序的跨学科项目,如小麦改良团队、俄克拉荷马呼吸和传染病中心以及生物能源中心将受益。NextSeq500是一台高通量测序机,每次运行能够产生高达120千兆碱基对的序列数据。该仪器具有低成本、快速周转的真核生物从头测序、RNA-SEQ实验、元基因组实验和其他现代高通量数据实验所需的能力。该仪器的使用将加强俄克拉荷马州立大学多个跨学科项目的研究、研究培训、合作和推广,包括现有的农业育种、植物病毒生物多样性、植物生物恐怖主义取证、与俄克拉荷马州美洲原住民部落合作的秃鹰和金雕种群遗传学、与地区机构的合作项目,包括兰斯顿大学的靶向育种(HBCU)、与进化、气候、生态系统修复相关的环境元基因组学项目,以及非模式生物的多个从头测序项目。本科生将通过收集和排序环境标本以及在课堂和研讨会上学习相关的生物信息学来进行培训。该工具在战略上补充了俄亥俄州立大学现有的数据管理、高吞吐量数据和大数据分析的网络基础设施。
英文摘要
An award is made to Oklahoma State University (OSU) to acquire an Illumina NextSeq500 genomic sequencer. Sequencing technologies are essential to STEM curricula that include bioinformatics at all student levels. The NextSeq will provide hands-on undergraduate research experiences. The instrument will be used to enhance the development of a diverse, globally competitive STEM workforce through the Bioinformatics Certificate Graduate Program, designed to improve academic and workforce employability of graduate students. The project will enhance research from interdisciplinary users including faculty from Biochemistry and Molecular Biology, Botany, Integrative Biology, Plant and Soil Science, Animal Science, Veterinary Sciences, Microbiology, Plant and Soil Science, Entomology, Zoology, and many more. The instrument will dramatically improve capacity to identify pathogens in metagenomics studies for forensics of food contamination including improved national security through the National Institute for Microbial Forensics & Food and Agricultural Biosecurity program which seeks to rapidly identify pathogens related to bioterrorism. The project will benefit society by strengthening genetic marker breeding research in wheat, beef, and many other agriculturally important crops and animals. Existing interdisciplinary programs that require significant sequencing such as the Wheat Improvement Team, The Oklahoma Center for Respiratory and Infectious Disease, and the Bioenergy Center will benefit.The NextSeq500 is a high-throughput sequencing machine capable of generating up to 120 giga-base-pairs of sequence data per run. This instrument has the capacity needed for eukaryotic de novo genome sequencing, RNA-seq experiments, metagenomic experiments, and other modern high-throughput data experiments at low cost and rapid turnaround. Access to this instrument will strengthen research, research training, collaborations, and outreach across multiple interdisciplinary programs at Oklahoma State University, including existing national leadership programs in agricultural breeding, plant virus biodiversity, plant bioterrorism forensics, population genetics of bald and golden eagles in collaboration with Native American tribes in Oklahoma, collaborative projects with regional institutions including targeted breeding at Langston University (an HBCU), environmental metagenomics projects related to evolution, climate, ecosystem remediation, and multiple de novo sequencing projects of non-model organisms. Undergraduate students will be trained by collecting and sequencing environmental specimens and learning associated bioinformatics in classes and workshops. This instrument strategically complements existing cyberinfrastructure for data management, high throughput data, and big data analyses at OSU.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金