MRI: Acquisition of a High-Performance Computer System to Support Research and Training in Computational Biology and Data Science at Meharry Medical College

MRI：采购高性能计算机系统以支持梅哈里医学院计算生物学和数据科学的研究和培训

• 批准号: 2117282
• 负责人: Aize Cao
• 金额: $ 67.14万
• 依托单位: Meharry Medical College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117282&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Computer; System

This MRI aims to acquire a High-Performance Computing (HPC) System to support research and training in Computational Biology and Data Science in a Historically Black College and University (HBCU). The system will allow Meharry Medical College to: • Support and expand multidisciplinary research in big data and areas with high Computational needs; support Maharry’s planned school of Applied Computational Sciences by incorporating state-of-the-art genetics studies, learning, data visualization, and other functions requiring high performance computing, and other functions, and other areas with high computational needs, • Assist in recruiting and retaining historically underrepresented minority students in computational sciences and biology, • Expand educational and research outreach in High Performance Computing in Middle Tennessee and other HBCU. This HPC system aims at providing robust computational processing to support programs at the Data Science Institute. This system will provide significant computational support for high throughput research and advance knowledge in computational biology and data science. This includes, but is not limited to big data management, sequencing data analyses, image processing, machine learning, and other types of data analyses (sequencing data and Acade analyses). The system offers a safe place for resource sharing, and contributes in retaining valuable knowledge, as well as providing opportunities for collaboration and engaging in trying to restrain the pandemic, and attaining more students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该MRI旨在获得高性能计算（HPC）系统，以支持历史上黑人学院和大学（HBCU）的计算生物学和数据科学研究和培训。该系统将使Meharry医学院能够：·支持和扩展大数据和高计算需求领域的多学科研究;通过整合最先进的遗传学研究，学习，数据可视化和其他需要高性能计算的功能，以及其他功能和其他具有高计算需求的领域，支持Maharry计划的应用计算科学学院，·协助招募和保留计算科学和生物学历史上代表性不足的少数民族学生，·扩大田纳西州中部和其他HBCU高性能计算的教育和研究范围。该HPC系统旨在提供强大的计算处理来支持数据科学研究所的项目。该系统将为高通量研究提供重要的计算支持，并推动计算生物学和数据科学的发展。这包括但不限于大数据管理、测序数据分析、图像处理、机器学习和其他类型的数据分析（测序数据和测序分析）。 该系统为资源共享提供了一个安全的场所，并有助于保留有价值的知识，以及提供合作机会和参与努力控制流行病，并获得更多的学生。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Summary of Year-One Effort of the RCMI Consortium to Enhance Research Capacity and Diversity with Data Science.

• DOI: 10.3390/ijerph20010279
• 发表时间: 2022-12-24
• 期刊: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
• 作者: Awad, Christopher S.;Deng, Youping;Kwagyan, John;Roche-Lima, Abiel;Tchounwou, Paul B.;Wang, Qingguo;Idris, Muhammed Y.
• 通讯作者: Idris, Muhammed Y.

A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a Historically Black Medical College.

• DOI: 10.3390/ijerph20064775
• 发表时间: 2023-03-08
• 期刊: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
• 作者: Wang, Qingguo;Gupta, Vibhuti;Cao, Aize;Singhal, Ashutosh;Gary, Todd;Adunyah, Samuel E
• 通讯作者: Adunyah, Samuel E