Core D: Data Management, Biostatistics, and Bioinformatics

核心 D：数据管理、生物统计学和生物信息学

• 批准号: 10249999
• 负责人: David V Conti
• 金额: $ 69.36万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-05 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10249999
• 关键词: African; African American; Baseline Surveys; Big Data; Bioinformatics; Biological; Biometry; California; Cells; Censuses; Cloud Computing; Collaborations; Data; Data Analyses; Data Store; Database Management Systems; Databases; Development; Ensure; Environment; Evaluation; Familiarity; Foundations; Genes; Genetic; Genomics; Genotype; Genotype-Tissue Expression Project; Heterogeneity; Human Resources; Immune; Immunity; Incubators; Individual; Informatics; Joints; Link; Maintenance; Malignant Neoplasms; Malignant neoplasm of prostate; Measures; Mediation; Methodology; Neighborhoods; Ontology; Pathology; Process; Questionnaires; Research; Research Personnel; Resources; Risk Factors; Role; Science; Security; Specimen; Statistical Data Interpretation; Stress; Subgroup; Systems Analysis; The Cancer Genome Atlas; Tumor Bank; Universities; Variant; Vital Status; base; benefit sharing; bioinformatics pipeline; cloud based; cohesion; cohort; computing resources; data hub; data integration; data management; data resource; diverse data; exome sequencing; genome-wide; men; multidimensional data; multiple data sources; neoplasm registry; non-genetic; programs; prospective; prostate cancer risk; recruit; relational database; social stressor; socioeconomics; success; tool; translational genomics; tumor microenvironment; African; African American; Baseline Surveys; Big Data; Bioinformatics; Biological; Biometry; California; Cells; Censuses; Cloud Computing; Collaborations; Data; Data Analyses; Data Store; Database Management Systems; Databases; Development; Ensure; Environment; Evaluation; Familiarity; Foundations; Genes; Genetic; Genomics; Genotype; Genotype-Tissue Expression Project; Heterogeneity; Human Resources; Immune; Immunity; Incubators; Individual; Informatics; Joints; Link; Maintenance; Malignant Neoplasms; Malignant neoplasm of prostate; Measures; Mediation; Methodology; Neighborhoods; Ontology; Pathology; Process; Questionnaires; Research; Research Personnel; Resources; Risk Factors; Role; Science; Security; Specimen; Statistical Data Interpretation; Stress; Subgroup; Systems Analysis; The Cancer Genome Atlas; Tumor Bank; Universities; Variant; Vital Status; base; benefit sharing; bioinformatics pipeline; cloud based; cohesion; cohort; computing resources; data hub; data integration; data management; data resource; diverse data; exome sequencing; genome-wide; men; multidimensional data; multiple data sources; neoplasm registry; non-genetic; programs; prospective; prostate cancer risk; recruit; relational database; social stressor; socioeconomics; success; tool; translational genomics; tumor microenvironment

Abstract – Data Management, Biostatistics, and Bioinformatics Core D The Data Management, Biostatistics, and Bioinformatics Core will provide a local and cloud-based data management system for the entire Program Project that will enable Project-specific analyses, as well as integrated analyses utilizing data spanning the entire Project. The Core will serve as the centralized data hub for the establishment of the prospective RESPOND cohort of African American (AA) men with prostate cancer (PCa). This includes: (1) questionnaire data, including multi-level factors related to social stressors, linkages to neighborhood socioeconomic indicators that will be collected through the recruitment Core B and primarily used in Project 1; (2) germline genome-wide genotype data and exome-sequencing data generated as part of Project 2; (3) somatic and expression data generated as part of Project 3; (4) immune cell profiles assessing the tumor microenvironment in Project 4; (5) and pathology related assessments of banked tumor specimens from Core C. The Core will also provide statistical and bioinformatics support and expertise. As a cohesive unit, the Core will leverage familiarity with data resources and commonalities of analysis across Projects. Finally, the Core will serve as the foundation for performing integrated analysis. This includes sophisticated integrated statistical analyses and access of joint results across Projects. The Core’s activities will be primarily performed within the University of Southern California’s Biostatistics Division and Translational Genomics group – benefiting from shared computational resources, active collaborations, and recent methodological developments in statistical approaches, integrated analysis and informatics. The Core is essential to the overall success of the Program Project as it serves as an incubator to process and store data, advise and complete Project-specific analyses, and perform and accelerate cross-Project integration and discoveries.

摘要 - 数据管理，生物统计学和生物信息学核心D 数据管理，生物统计学和生物信息学核心将提供局部和基于云的数据 整个计划项目的管理系统，将实现特定项目的分析以及 利用整个项目的数据进行集成分析。核心将充当集中数据中心 为了建立前列腺癌的非洲裔美国人（AA）男性的前瞻性响应队列 （PCA）。这包括：（1）问卷数据，包括与社会压力源有关的多层次因素，与 邻里社会经济指标将通过招聘核心B和初级收集 在项目1中使用； （2）生成全基因组基因型数据和作为作为作为作为作为作为作为一部分的一部分生成的 项目2; （3）作为项目3的一部分生成的体细胞和表达数据； （4）免疫细胞轮廓评估 项目4的肿瘤微环境； （5）和与病理相关的银行肿瘤标本的评估 核心也将提供统计和生物信息学的支持和专业知识。作为凝聚力 单位，核心将利用对项目的数据资源和分析的共同点的熟悉。 最后，核心将作为执行综合分析的基础。这包括精致 整合统计分析和跨项目的联合结果访问。核心的活动将是主要的 在南加州大学的生物统计学部门和翻译基因组学中表演 小组 - 受益于共享计算资源，主动协作和最新方法论 统计方法的发展，综合分析和信息信息。核心对于整体至关重要 该计划项目的成功，因为它是处理和存储数据，建议和完成的孵化器 特定于项目的分析，并执行并加速了跨项目的集成和发现。