Biostatistics and Bioinformatics Core

生物统计学和生物信息学核心

• 批准号: 10044538
• 负责人: Huilin Li
• 金额: $ 13.79万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-17 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10044538
• 关键词: Address; Affect; Algorithms; Bioinformatics; Biological; Biometry; Biostatistics Core; Cancer Center; Clinical; Clinical Data; Collaborations; Communities; Computer software; Consultations; Data; Data Analyses; Development; Disease; Doctor of Philosophy; Ensure; Experimental Designs; Funding; Goals; Grant; Health; Human; Human Microbiome; Immune; Informatics; Information Resources; Institutes; Knowledge; Laboratories; Laboratory Study; Malignant Neoplasms; Manuscripts; Mediation; Medical Education; Metagenomics; Methods; Mission; Modeling; Mutation; Outcome; Preparation; Procedures; Reliability of Results; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Resources; Role; Sample Size; Sampling; Secure; Security; Services; Somatic Mutation; Statistical Models; Testing; Tissues; Treatment outcome; United States National Institutes of Health; Visual; Work; analysis pipeline; anticancer research; bacterial community; base; bioinformatics infrastructure; biomarker development; biomedical informatics; cancer health disparity; data analysis pipeline; data integration; data management; design; diverse data; health disparity; health equity; immunological status; innovation; meetings; member; microbiome; microbiome analysis; microbiota; multiple data sources; mutational status; novel; repository; research study; sequencing platform; software development; structured data; synergism; translational study; tumor; tumor immunology; tumorigenesis

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.

项目摘要 NYU癌症健康差异（CHD）孢子的核心C（生物统计学和生物信息学核心）的设计 为了向所有孢子研究项目提供统计和生物信息学协作和咨询， 开发研究项目和核心B（生物循环采购和利用核心）。咨询 可以通过实施，数据管理，统计和计划阶段从研究设计和规划阶段获得 生物信息学分析和结果的解释。 C核心将为所有拟议的实验室提供支持 研究和翻译研究，包括基于现有和新的样本的生物标志物开发 研究旨在支持NYU CHD Spore的总体任务和中央科学策略的研究。 此外，从所有项目中系统地选择样品的策略和协调 核心C中的信息学支持将允许整个项目的结果整体整合以开发 预测疾病发生和治疗结果的综合模型。核心C借鉴并集成 纽约大学生物统计学资源（BSR）的广泛知识，资源和专业知识基金 生物信息学实验室（ABL）和Perlmutter癌症中心（PCC）为NYU CHD孢子服务。这 联合主任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学和 生物信息学支持并确保最大程度地利用所有机构资源和设施。这会 授权在以下方面提供专业知识：统计设计；功率/样本量计算； 有效数据集成和分析的系统样本选择策略；和数据集成 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。 Core C Will 开发创新的统计和生物信息学方法，包括整合的创新方法 宏基因组，体细胞突变和免疫分析数据。该研究使用中介分析框架 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 较大的癌症研究界公开可用的算法。