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

• 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
• 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

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-Abstract 分子健康与疾病中心（MCHD）将促进研究的中心主题 分子生理学，以增强研究人员的教育，指导和培训的深度以应用OMICS 整个健康疾病连续体的技术和计算生物学。旨在理解的研究 疾病发作涉及的遗传敏感性和分子机制有可能阻止进展 并将个人返回更健康的状态。随着技术的进步允许深入了解基因组， 转录组，蛋白质组学和代谢组复杂性，需要开发计算生物学方法 集成和合并这些OMIC数据集以及物理数据（在整体系统生物学中）已成为 批判的。总体而言，用于分子，细胞和整体病理生理学相关的计算方法 借助健康疾病，连续体可以提供重要的系统生物学水平信息。任务 MCHD将通过跨多个组件（包括核心A）的协同互动来实现 （行政监督，教育和心理计划以及一个试点项目计划），两个研究核心， 以及三个主要项目调查人员，以解决分子和 计算方法。特别是核心研究计算，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，自定义生物信息学 分析管道和生物统计支持。核心C将利用全面的最先进的OMIC数据 收集管道和机械基因编辑和核心B的生物学方法，以提供主要项目 飞行员调查人员对健康疾病连续体的独特见解。核心C将建立新的计算 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 “生物信息学和数据科学协作”，并利用和扩展当前的生物统计学服务 可通过人口健康学院获得。核心C的目的是：（1）提供教育和培训 研究计算和计算生物学方法的教师，学员和学生的机会； （2）建立一个创新的研究计算基础架构，以通过 标准和自定义分析管道将生物学相关的分析返回给MCHD研究人员； （3） 为MCHD调查人员提供生物统计学专业知识和服务的访问，以实现最佳实验设计， 统计分析和发现的解释； （4）寻求研究计算的持续改进 通过实施新方法，基础架构，服务和增强分析能力， 算法和方法来帮助核心的可持续性。总共通过与 核心B，该核心将建立，成长和维持基础设施，以增强和建立以生物学为目的的系统 健康和疾病连续体的方法，将多学科专家汇集在一起​​以支持创新 初级研究人员的壁外研究应用，并协作培养了MCHD的成功。