Shared Resource Core: Quantitative Sciences Core

摘要|量化科学核心 庞塞健康科学大学-莫菲特癌症中心的定量科学核心(QSC) MCC)合作伙伴为生成、管理和分析大数据提供资源和专业知识。它是 解决拉美裔/拉丁裔代表性偏低问题的量化办法专门知识协调人(H/L) 将人口纳入“组学”研究，并将血统分析纳入伙伴关系研究方法。通过 将PHSU在基因起源方面的专业知识与MCC生物信息学团队结合在一起，QSC结合了一套独特的 解决H/L混合人群中癌症差异的分子成分所需的技能。这个 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支持数据供应、研究设计、分析计划和功率估计，以 在所有伙伴关系研究项目和赠款中展示可行性并提高严格性和可重复性 意见书。此外，QSC还通过以下方式促进高通量分子数据的传播 开发基于网络的可视化工具。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员收集的数据。QSC分析了第一个 H/L与波多黎各生物库/肿瘤学研究合作产生的基因组数据 信息交换网(ORIEN)化身并实施了H/L生物门户(全球)，一个基于网络的 资源。QSC开发了可视化和解释数据的工具，估计遗传祖先的管道， 并在拉美裔服务机构(HSI)建立了基因组学生物信息学专业知识，包括招聘， 培训，以及计算和存储基础设施的采购。QSC的具体目标将是：1) 为生物统计学和生物信息学提供研究项目支持，从研究设计、终点定义、 样本量估计、能量计算和数据分析。主要数据科学家之间的定期互动 项目成员将继续开发新的分析工具，以应对新出现的 与伙伴关系的需求相一致的问题。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 来自PRBB BioSpecimen Management System(BMS)的软件基础设施。QSC/PRBB数据礼宾 提供来自这些系统的数据和链接。其他支持的服务包括H/L Bioptal，估计 细胞系祖先(ECLA)工具和规划伙伴关系持续质量改进系统 评估核心(&E)。3)提供量化科学方面的专门知识，以支持伙伴关系。QSC的目标是 在HSI发展统计方面的专业知识；在伙伴关系中描述公开可用的分子签名 队列；为PRBB优化同意和参与者沟通开发分析；扩展组学 学生的体验(与研究教育核心合作)，并加强对祖先的使用 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.