Core C-Research Computing, Bioinformatics, and Biostatistics

核心C-抽象 分子健康和疾病中心(MCHD)将在以下中心主题下促进研究 分子生理学增强应用组学研究人员的教育、指导和培训的深度 跨越健康-疾病连续体的技术和计算生物学。旨在理解的研究 涉及疾病发病的遗传易感性和分子机制有可能阻止疾病的进展 并使个体恢复到更健康的状态。随着技术的进步使人们能够深入了解基因组， 转录组、蛋白质组和代谢组的复杂性，需要开发计算生物学方法 将这些组学数据集与生理数据(在整个系统生物学中)一起整合和合并已成为 危急时刻。总之，应用于分子、细胞和整体病理生理学的计算方法 用健康-疾病连续体可以提供重要的系统生物学水平信息。世界银行的使命是 MCHD将通过包括核心A在内的多个组件的协同交互来实现 (行政监督、教育和指导方案，以及一个试点项目方案)，两个研究核心， 和三个主要项目调查人员使用分子和 计算方法。尤其是核心C-研究计算、生物信息学和生物统计学 将为研究人员提供访问高性能研究计算基础设施、定制生物信息学 分析管道和生物统计支持。Core C将利用全面的最先进的组学数据 来自核心B的收集流水线和机械式基因编辑和生物学方法，以提供主要项目 试点调查人员对健康-疾病连续体有独特的洞察力。核心C将构建新的计算 基础设施，提供重要的生物信息学和计算生物学分析，促进一种新的 “生物信息学和数据科学合作”，并利用和扩展现有的生物统计服务 可通过人口健康学院获得。核心C的目标是：(1)提供教育和培训 教师、实习生和学生在研究计算和计算生物学方法方面的机会； (2)建立大型组学数据集分析所需的创新研究计算基础设施，通过 标准和定制分析管道，将生物相关分析返回给MCHD调查人员；(3) 为MCHD研究人员提供生物统计学专业知识和服务，以优化实验设计， 统计分析和研究结果的解释；以及(4)在研究计算方面寻求持续改进 基础设施、服务，并通过实施新方法增强分析能力， 算法和方法，以协助核心的可持续性。总体而言，通过与 核心B，这个核心将建立、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，将多学科的专业知识结合起来，以支持创新 初级研究人员的校外研究应用，并共同培育MCHD的成功。

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.