Quantitative Sciences Core

摘要|定量科学核心 庞塞健康科学大学莫菲特癌症中心（PHSU）的定量科学核心（QSC） MCC）Partnership为生成、管理和分析大数据提供资源和专业知识。是 协调中心的专门知识，在定量方法，以解决代表性不足的西班牙裔/拉丁美洲人（H/L） 在“组学”研究中纳入人口，并在伙伴关系研究方法中纳入祖先分析。通过 加入PHSU在遗传祖先方面的专业知识与MCC生物信息学团队，QSC结合了一套独特的 解决混合H/L人群中癌症差异的分子组成所需的技能。的 QSC提供生物信息学、生物统计学和信息学方面的专业知识，并参与 研究生命周期QSC支持数据提供、研究设计、分析计划和功效估计， 在所有伙伴关系研究项目中证明可行性并提高严谨性和可重复性， 意见书。此外，QSC通过以下方式促进高通量分子数据的传播 开发基于Web的可视化工具。作为研究项目的中心资源，QSC还促进了 合作，从而利用伙伴关系调查人员收集的数据。QSC分析了第一个 与波多黎各生物银行（PRBB）/肿瘤学研究合作生成的H/L基因组数据 信息交流网络（ORIEN）的化身，并实施了H/L Bioportal（GLOBAL），一个基于网络的 resource. QSC开发用于可视化和解释数据的工具，估计遗传祖先的管道， 并在西班牙裔服务机构（HSI）建立了基因组学生物信息学方面的专业知识，包括招聘， 培训以及购置计算和存储基础设施。QSC的具体目标是：1） 为生物统计学和生物信息学从研究设计、终点定义、 样本量估计、功效计算和数据分析。首席数据科学家之间的定期互动 和项目成员将允许继续开发新的分析工具，以解决新兴的 这些问题与伙伴关系的需求相一致。2)提供数据集成和管理服务， 伙伴关系项目和核心。需要组织/数据收集系统的项目将利用现有的 PRBB生物标本管理系统（BMS）的软件基础设施。QSC/PRBB数据库 提供这些系统的数据和链接。其他支持的服务包括H/L Bioportal，估计 细胞系质量管理（ECLA）工具，以及规划的伙伴关系持续质量改进系统 & Evaluation Core. 3)提供定量科学专门知识，支持伙伴关系。QSC旨在 在HSI发展统计学专业知识;在伙伴关系中描述公开可用的分子特征 队列;为PRBB优化知情同意和参与者沟通开发分析;扩展组学 为学生提供经验（与研究教育核心合作），并加强祖先在 定量研究。

ABSTRACT | QUANTITATIVE SCIENCES CORE The Quantitative Sciences Core (QSC) of the Ponce Health Sciences University-Moffitt Cancer Center (PHSU- MCC) Partnership provides resources and expertise for generating, managing, and analyzing big data. It is the focal point for expertise in quantitative approaches to address the underrepresentation of Hispanic/Latino (H/L) populations in “omics” studies and to incorporate ancestry analysis in Partnership research approaches. By joining PHSU's expertise in genetic ancestry with the MCC bioinformatics team, the QSC combines a unique set of skills required to address the molecular components of cancer disparities in admixed H/L populations. The QSC provides expertise in bioinformatics, biostatistics, and informatics, and participates in every phase of the research life cycle. The QSC supports data provisioning, study design, analysis plans, and power estimates to demonstrate the feasibility and improve rigor and reproducibility in all Partnership research projects and grant submissions. In addition, the QSC contributes to the dissemination of high-throughput molecular data by developing web-based visualization tools. As a central resource for research projects, the QSC also facilitates collaboration, thereby leveraging the data gathered by the Partnership investigators. The QSC analyzed the first H/L genomic data generated in collaboration with the Puerto Rico BioBank (PRBB)/Oncology Research Information Exchange Network (ORIEN) Avatar and implemented the H/L Bioportal (GLOBAL), a web-based resource. The QSC develops tools for visualizing and interpreting data, pipelines to estimate genetic ancestry, and has built expertise in genomics bioinformatics at the Hispanic-Serving Institution (HSI), including hiring, training, and the acquisition of computing and storage infrastructure. The Specific Aims of the QSC will be: 1) Provide research project support for biostatistics and bioinformatics from study design, endpoint definition, sample size estimation, power calculation, and data analysis. Regular interactions between lead data scientists and project members will allow for the continuing development of novel analytic tools to address emerging questions aligned with the Partnership’s needs. 2) Provide data integration and management services for Partnership projects and cores. Projects needing tissue/data collection systems will leverage the existing software infrastructure from PRBB Biospecimen Management System (BMS). The QSC/PRBB Data Concierge provisions data and linkages from these systems. Other supported services include the H/L Bioportal, Estimated Cell Line Ancestry (ECLA) tool, and the Partnership Continuous Quality Improvement System for the Planning & Evaluation Core. 3) Provide quantitative sciences expertise in support of the Partnership. The QSC aims to develop expertise in statistics at the HSI; characterize publicly available molecular signatures in Partnership cohorts; develop analytics for PRBB optimization of consent and participant communications; expand the omics experience for students (collaboration with the Research Education Core) and enhance the use of ancestry in quantitative studies.