Biostatistics and Bioinformatics Core

项目摘要 核心C（生物统计学和生物信息学核心）的纽约大学癌症健康差异（CHD）孢子是设计 为所有SPORE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（生物标本采购和利用核心）。协商 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将为所有拟议实验室提供支持 研究和转化研究，包括基于现有和新的样本的生物标志物开发 研究，以支持总体使命和纽约大学CHD孢子的中央科学战略。 此外，还提出了从所有项目中系统地选择样本和协调 核心C中的信息学支持将允许跨项目结果的整体整合， 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 一个广泛的知识，资源和专业知识基金，横跨纽约大学生物统计资源（BSR），应用 生物信息学实验室（ABL）和珀尔马特癌症中心（PCC），为纽约大学CHD孢子。的 共同主任，NYUBR主任Huilin Li博士和生物医学助理主任Kelly Ruggles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 授权提供以下各方面的专门知识：统计设计;把握度/样本量计算; 有效数据整合和分析的系统抽样选择策略;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 开发创新的统计和生物信息学方法，包括创新的方法， 宏基因组、体细胞突变和免疫分析数据。本研究采用中介分析框架 研究微生物组在健康差异研究中的作用。我们将使这些新开发的 算法公开提供给更大的癌症研究社区。

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.