Core C-Research Computing, Bioinformatics, and Biostatistics

核心 C 研究计算、生物信息学和生物统计学

基本信息

批准号：
10553867
负责人：
Hao Mei
金额：
$ 31.82万
依托单位：
UNIVERSITY OF MISSISSIPPI MED CTR
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：
2023-03-06 至 2028-02-29
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10553867
关键词：
Address Algorithms Applications Grants Bioinformatics Biological Biometry Cells Complex Computational Biology Consultations Custom Data Data Collection Data Science Data Set Dedications Disease Education Educational workshop Ensure Epigenetic Process Event Experimental Designs Extramural Activities Faculty Functional disorder Genes Genetic Predisposition to Disease Genomics Goals Health High Performance Computing Individual Infrastructure Leadership Manuscripts Maps Medical center Mentors Mentorship Methodology Mission Mississippi Molecular Onset of illness Organ Organism Performance Phase Physiological Physiology Pilot Projects Preparation Program Description Proteomics Reporting Reproducibility Research Research Personnel Schools Services Statistical Data Interpretation Statistical Models Students Systems Biology Systems Development Technical Expertise Technology Tissues Training Training and Education Universities Variant analysis pipeline body system cell type data integration database design education planning epigenomics human subject improved innovation insight meetings metabolomics multidisciplinary novel novel strategies population health power analysis programs service delivery success technological innovation training opportunity transcriptomics

项目摘要

Core C-Abstract The Molecular Center of Health and Disease (MCHD) will facilitate research under a central theme of molecular physiology to enhance the depth of education, mentorship, and training of researchers to apply omics technology and computational biology across the health-disease continuum. Research aimed at understanding genetic susceptibility and molecular mechanisms involved in disease onset has the potential to halt progression and return an individual to a healthier state. As advances in technology have allowed for insight into genomic, transcriptomic, proteomic, and metabolomic complexity, the need to develop computational biology approaches to integrate and merge these omics datasets along with physiological data (in total systems biology) has become critical. In total, computational approaches applied to molecular, cellular, and overall pathophysiology associated with the health-disease continuum can provide important systems biology level information. The mission of the MCHD will be achieved through synergistic interaction across multiple components including Core A (administrative oversight, education and mentoring programs, and a pilot project program), two research cores, and three major project investigators to address diverse questions of health and disease using molecule and computational approaches. In particular, Core C- Research Computing, Bioinformatics, and Biostatistics will provide researchers access to high-performance research computing infrastructure, custom bioinformatics analysis pipelines and biostatistical support. Core C will leverage the comprehensive state-of-the-art omics data collection pipeline and mechanistic gene-editing and biological approaches from Core B to provide major project and pilot investigators unique insight into the health-disease continuum. Core C will build new computing infrastructure at the University, provide vital bioinformatics and computational biology analysis, facilitate a novel “Bioinformatics and Data Sciences Collaborative”, and leverage and expand current biostatistics services available through the School of Population Health. The objective of Core C is: (1) provide education and training opportunities for faculty, trainees, and students in research computing and computational biology approaches; (2) establish an innovative research computing infrastructure required for analyses of large omics datasets via standard and custom analyses pipelines to return biologically relevant analyses to MCHD investigators; (3) provide MCHD investigators access to biostatistical expertise and services for optimal experimental design, statistical analyses, and interpretation of findings; and (4) to seek continuous improvement in research computing infrastructure, services, and enhance analytical capabilities through implementation of new approaches, algorithms, and methodology to assist in the sustainability of the Core. In total, through close coordination with Core B, this core will establish, grow, and sustain infrastructure to enhance and build systems biology focused approaches to the health and disease continuum, bring together multidisciplinary expertise to support innovative extramural research applications of junior investigators, and collaboratively cultivate the success of the MCHD.

核心C-摘要健康与疾病分子中心（MCHD）将促进以下中心主题的研究：分子生理学，以提高研究人员应用组学的教育、指导和培训的深度跨健康疾病连续体的技术和计算生物学研究旨在理解。涉及疾病发作的遗传易感性和分子机制有可能阻止疾病进展并使个人恢复到更健康的状态随着技术的进步，人们可以深入了解基因组，转录组、蛋白质组和代谢组的复杂性，开发计算生物学方法的需要将这些组学数据集与生理数据（在整个系统生物学中）整合和合并已成为总的来说，计算方法应用于分子、细胞和整体病理生理学相关。健康-疾病连续体可以提供重要的系统生物学水平信息。 MCHD 将通过包括核心 A 在内的多个组件之间的协同交互来实现（行政监督、教育和指导计划以及试点项目计划），两个研究核心，和三个主要项目研究人员利用分子和技术解决健康和疾病的各种问题特别是，核心 C 研究计算、生物信息学和生物统计学。将为研究人员提供高性能研究计算基础设施、定制生物信息学分析流程和生物统计支持 Core C 将利用全面的最先进的组学数据。 Core B 提供的收集管道以及机械基因编辑和生物学方法，以提供重大项目试点研究人员对健康疾病连续体的独特见解将构建新的计算。大学的基础设施，提供重要的生物信息学和计算生物学分析，促进新颖的研究 “生物信息学和数据科学协作”，并利用和扩展现有的生物统计服务通过人口健康学院提供核心 C 的目标是： (1) 提供教育和培训。为教师、实习生和学生提供研究计算和计算生物学方法的机会； (2) 建立分析大型组学数据集所需的创新研究计算基础设施 (3) 标准和定制分析流程，将生物学相关分析返回给 MCHD 研究人员；为 MCHD 研究人员提供生物统计专业知识和服务，以实现最佳实验设计，统计分析和结果解释；(4) 寻求研究计算的持续改进基础设施、服务，并通过实施新方法增强分析能力，总体而言，通过与核心的密切协调来协助核心的可持续性。核心 B，该核心将建立、发展和维持基础设施，以增强和构建以系统生物学为重点的基础设施健康和疾病连续体的方法，汇集多学科专业知识来支持创新初级研究者的校外研究应用，并共同培养 MCHD 的成功。