Bioinformatics, Statistical and Methodological Shared Resources Core

生物信息学、统计和方法共享资源核心

• 批准号: 10762124
• 负责人: JI-HYUN LEE
• 金额: $ 8.36万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-17 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10762124
• 关键词: Achievement; Address; Advanced Malignant Neoplasm; African American; Bioinformatics; Biological; Biometry; Black American; California; Cancer Research Project; Cancer health equity; Caring; Clinical; Communities; Community Outreach; Comprehensive Cancer Center; Data; Data Analyses; Data Collection; Data Management Resources; Data Science; Data Set; Data Storage and Retrieval; Databases; Development; Doctor of Philosophy; E-learning; Education; Educational Materials; Educational workshop; Ensure; Environmental Exposure; Evaluation; Event; Florida; Funding; Future; Gene Expression Profiling; Goals; Grant; Health; Health Disparities Research; High-Throughput Nucleotide Sequencing; Hispanic; Individual; Institution; Laboratories; Malignant Neoplasms; Manuscripts; Methodology; Methods; Mutation; Mutation Analysis; Occupations; Pilot Projects; Population; Preparation; Procedures; Publications; Quality Control; Reproducibility; Research; Research Design; Research Personnel; Research Project Grants; Resource Sharing; Resources; Schedule; Science; Series; Services; Source; System; Techniques; Tissue Model; Training; Training Support; Triage; Underserved Population; Universities; University of Southern California Norris Cancer Center; Work; anticancer research; cancer health disparity; computerized data processing; computing resources; data cleaning; data management; data repository; data sharing; design; drug development; education research; exome sequencing; experimental study; federated data; genomic data; health equity; high dimensionality; human data; innovation; lectures; meetings; member; mortality; novel; outreach; public database; single cell sequencing; software as a service; software development; transcriptome sequencing; web site

ABSTRACT – BIOINFORMATICS, STATISTICAL AND METHODOLOGICAL CORE The primary goal of the Bioinformatics, Statistical, and Methodological (BSM) Core at the Florida-California Cancer Research, Education & Engagement (CaRE2) Health Equity Center is to provide the data management, data cleaning, data storage, and data release to public databases for all information generated by our Center. In addition, it will provide bioinformatics, statistical and methodological support for all the cancer research projects proposed, as well as future projects that will build upon them and disseminate to all CaRE2 Center members and the scientific community at large in a timely fashion. We will reach these goals through three aims: First, we will provide bioinformatics, statistical and methodological support. This first aim established the job scheduling and interfaces to meet the needs of all CaRE2 Health Equity Center investigators. We will support bioinformatics and statistical issues across the projects and cores. Bioinformatics support will include in-depth quality control and assessment of all high-throughput sequencing data from multiple platforms and facilitate access to publicly available datasets. Statistical and methodological support will consist of all aspects, from collecting to state-of- the-art data analysis and interpretation and abstract, manuscript, and grant preparation. The second aim will be enhancing and maintaining a federated data repository resource that enables the interaction of CaRE2 members. This second aim ensures that all data are of high quality and disseminated to all CaRE2 Center members and the scientific community promptly. In the third aim, we will provide bioinformatics, statistical and methodological support, and educational opportunities to the CaRE2 Center. This third aim focuses on developing online educational materials that BSMC's members and guest experts will present through the core events, such as seminar series and interactive lectures among all CaRE2 Center members.

摘要——生物信息学、统计学和方法论核心 佛罗里达-加州生物信息学、统计和方法 (BSM) 核心的主要目标 癌症研究、教育和参与 (CaRE2) 健康公平中心旨在提供数据管理、 我们中心生成的所有信息的数据清理、数据存储以及数据发布到公共数据库。在 此外，它将为所有癌症研究项目提供生物信息学、统计和方法学支持 提议的以及未来的项目，这些项目将以它们为基础并传播给所有 CaRE2 中心成员和 整个科学界及时地。我们将通过三个目标来实现这些目标：首先，我们将 提供生物信息学、统计和方法学支持。第一个目标建立了作业调度和 满足所有 CaRE2 健康公平中心调查人员的需求。我们将支持生物信息学和 跨项目和核心的统计问题。生物信息学支持将包括深入的质量控制和 评估来自多个平台的所有高通量测序数据并方便公开获取 可用的数据集。统计和方法支持将包括各个方面，从收集到现状 最先进的数据分析和解释以及摘要、手稿和资助准备。第二个目标将是 增强和维护联合数据存储库资源，使 CaRE2 成员能够进行交互。 第二个目标确保所有数据都是高质量的，并分发给所有 CaRE2 中心成员和 迅速向科学界通报。在第三个目标中，我们将提供生物信息学、统计和方法论 CaRE2 中心的支持和教育机会。第三个目标侧重于在线开发 BSMC 的成员和客座专家将通过核心活动提供的教育材料，例如 所有 CaRE2 中心成员之间的研讨会系列和互动讲座。