EXPANDING THE GENOMIC DATA SCIENCE COMMUNITY NETWORK FOR NHGRI.
扩大 NHGRI 的基因组数据科学社区网络。
基本信息
- 批准号:10944109
- 负责人:
- 金额:$ 74.91万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:Cloud ComputingCommunitiesCommunity NetworksContractorData AnalysesData ScienceDevelopmentEducationFacultyHigh Performance ComputingHistorically Black Colleges and UniversitiesInformaticsInstitutionMinority-Serving InstitutionNational Human Genome Research InstituteResearchResourcesStudentsTrainingVisualizationWorkcloud basedcluster computingcommunity collegeempowermentgenome resourcegenome sciencesgenomic datalearning materialsoutreachshared databasetribal collegeundergraduate educationundergraduate student
项目摘要
Currently, educational opportunities in genomics and data science are primarily limited to resource-rich institutions with access to high-performance computing clusters. This results in an extreme lack of diversity in the genomic data science workforce. By supporting the development of training materials by faculty at institutions with less resources, and increasing dissemination and outreach activities, NHGRI seeks to enable a broader spectrum of undergraduate institutions to have educational and research access to genomic data science through the Genomic Data Science Community Network (GDSCN). GDSCN will empower a broader and more diverse set of undergraduate educational institutions to have access to genomic data science by leveraging the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL), a cloud-based data sharing and analysis resource for the genomic scientific community.
目前,基因组学和数据科学的教育机会主要限于资源丰富的机构,可以访问高性能计算集群。这导致基因组数据科学工作人员极端缺乏多样性。通过支持资源较少的机构的教师开发培训材料,并增加传播和推广活动,NHGRI旨在使更广泛的本科院校能够通过基因组数据科学社区网络(GDSCN)获得基因组数据科学的教育和研究。GDSCN将使更广泛,更多样化的本科教育机构能够利用基因组数据科学分析,可视化和信息学实验室空间(AnVIL),这是一种基于云的数据共享和分析资源,用于基因组科学界。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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MICHAEL SCHATZ其他文献
MICHAEL SCHATZ的其他文献
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{{ truncateString('MICHAEL SCHATZ', 18)}}的其他基金
Optimized workflows for structural variant analysis of the Kids First genomes using short and long reads
使用短读长和长读长对 Kids First 基因组进行结构变异分析的优化工作流程
- 批准号:
10432507 - 财政年份:2022
- 资助金额:
$ 74.91万 - 项目类别:
Optimized workflows for structural variant analysis of the Kids First genomes using short and long reads
使用短读长和长读长对 Kids First 基因组进行结构变异分析的优化工作流程
- 批准号:
10602532 - 财政年份:2022
- 资助金额:
$ 74.91万 - 项目类别:
Integrative genomic and epigenomic analysis of cancer using long read sequencing
使用长读长测序对癌症进行综合基因组和表观基因组分析
- 批准号:
10396074 - 财政年份:2021
- 资助金额:
$ 74.91万 - 项目类别:
Integrative genomic and epigenomic analysis of cancer using long read sequencing
使用长读长测序对癌症进行综合基因组和表观基因组分析
- 批准号:
10599150 - 财政年份:2021
- 资助金额:
$ 74.91万 - 项目类别:
Integrative genomic and epigenomic analysis of cancer using long read sequencing
使用长读长测序对癌症进行综合基因组和表观基因组分析
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10187808 - 财政年份:2021
- 资助金额:
$ 74.91万 - 项目类别:
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