Biostatistics and Bioinformatics Core

项目总结 设计了纽约大学癌症健康差异(CHD)孢子的核心C(生物统计和生物信息学核心) 为所有孢子研究项目提供统计和生物信息学合作和咨询， 发展研究项目和核心B(生物武器采购和利用核心)。咨询 从研究设计和规划阶段到实施、数据管理、统计和 生物信息学分析和结果解释。核心C将为所有拟建的实验室提供支持 研究和翻译研究，包括基于现有和新样本的生物标记物开发 支持纽约大学CHD孢子总体使命和中心科学战略的研究研究。 此外，系统地从所有项目中选择样本的战略和协调 核心C中的信息学支持将允许开发跨项目的结果的整体集成 预测疾病发生和治疗结果的综合模型。核心C借鉴并整合了 纽约大学生物统计资源(BSR)的知识、资源和专业知识的广泛基金，应用 生物信息学实验室(ABL)和珀尔穆特癌症中心(PCC)为纽约大学CHD孢子提供服务。这个 联席主任，NYUBR主任李慧琳博士和生物医学助理主任凯利·拉格尔斯博士 纽约大学医学教育创新研究所的信息学将提供综合的生物统计学和 生物信息支持，并确保最大限度地利用所有机构资源和设施。这将是 增强在以下各方面提供专门知识的能力：统计设计；力量/样本量计算； 系统的样本选择战略，以实现有效的数据整合和分析；以及整合来自 多个来源，包括实验室数据、临床数据和来自不同测序平台的数据。核心C将 发展创新的统计和生物信息学方法，包括整合 元基因组、体细胞突变和免疫图谱数据。该研究使用了一个调解分析框架 探讨微生物组在健康差距研究中的作用。我们将把这些新开发的产品 算法对更大的癌症研究社区公开可用。

PROJECT SUMMARY Core C (Biostatistics and Bioinformatics Core) of the NYU Cancer Health Disparity (CHD) SPORE is designed to provide statistical and bioinformatics collaboration and consultation to all SPORE Research Projects, Developmental Research Projects, and Core B (Biospecimen Procurement and Utilization Core). Consultation is available from the study design and planning stages through implementation, data management, statistical and bioinformatics analysis, and interpretation of results. Core C will provide support for all proposed laboratory studies and translational studies, including biomarker development based on samples from existing and new research studies to support the overarching mission and central scientific strategy of the NYU CHD SPORE. Furthermore, strategies for the systematic selection of samples from all the projects and the coordination of informatics support in Core C will permit the overall integration of results across projects to develop comprehensive models to predict disease occurrence and treatment outcomes. Core C draws on and integrates an extensive fund of knowledge, resources, and expertise across the NYU Biostatistics Resource(BSR), Applied Bioinformatics Laboratories (ABL), and Perlmutter Cancer Center (PCC), to serve the NYU CHD SPORE. The Co-Directors, Dr. Huilin Li, the director of NYUBR, and Dr. Kelly Ruggles, the Assistant Director of Biomedical Informatics in the Institute for Innovation in Medical Education at NYU, will provide integrated biostatistical and bioinformatic support and ensure maximum utilization of all institutional resources and facilities. This will empower the provision of expertise in all aspects of: statistical design; power/sample size calculations; systematic sample selection strategies for efficient data integration and analyses; and integration of data from multiple sources including laboratory data, clinical data, and data from diverse sequencing platforms. Core C will develop innovative statistical and bioinformatics methods, including innovative methods to integrate metagenomic, somatic mutation and immune profiling data. The research uses a mediation analysis framework to investigate the role of the microbiome in health disparity research. We will make these newly developed algorithms publicly available to the larger cancer research community.