Bioinformatics, Statistical and Methodological Core

生物信息学、统计和方法论核心

• 批准号: 9788335
• 负责人: Enrique Israel Velazquez Villarreal
• 金额: $ 13.54万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9788335
• 关键词: Basic Science; Biochemical; Bioinformatics; Biological Assay; California; Cancer Research Project; Clinical Medicine; Communication; Communities; Computer Systems; DNA sequencing; Data; Data Analyses; Data Set; Data Storage and Retrieval; Databases; Discipline; Education; Ensure; Extranet; Florida; Future; Genetic; Genomics; Genotype; Goals; High Performance Computing; Laboratories; Malignant neoplasm of pancreas; Malignant neoplasm of prostate; Management Information Systems; Measurement; Methodology; Mitochondria; Occupations; Procedures; Protocols documentation; Reagent; Research; Research Personnel; Resource Sharing; Sampling; Schedule; Standardization; System; Time; Work; analysis pipeline; anticancer research; data management; data resource; data sharing; electronic data; gemcitabine; good laboratory practice; health equity; meetings; member; nanoparticle; pancreas development; pancreatic cancer model; power analysis; racial disparity; transcriptome sequencing; transcriptomics; web portal

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 the three cancer research projects proposed: 1) Disparities in Mitochondrial Peptidomics and Transcriptomics in Prostate Cancer (PC), 2) Enhancing Efficacy of Gemcitabine Nanoparticles in Pancreatic PDX Models, and 3) Contribution of Racial Disparity towards the Early Development of Pancreatic Cancer, 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. In the first aim, we will work with project PIs to optimize best practices for data management for the specific needs of these projects and its highly unique datasets. This first aim establishes the protocols to develop and maintain a central data, resource and sample management system that enables interface between multiple disciplines including genomics, basic sciences, and clinical medicine. The second aim will be to ensure that all data are of high quality, conform to good laboratory practice specifications, and are disseminated to all CaRE2 Center members and the scientific community at large in a timely fashion. The third aim will be providing bioinformatics, statistical and methodological support and educational opportunities to the CaRE2 Center.

摘要：生物信息学、统计和方法论核心 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) 健康公平中心将提供数据 对生成的所有信息进行管理、数据清理、数据存储以及将数据发布到公共数据库 由我们中心。此外，还将为这三个领域提供生物信息学、统计和方法学支持。 提出的癌症研究项目：1) 线粒体肽组学和转录组学的差异 前列腺癌 (PC)，2) 增强吉西他滨纳米颗粒在胰腺 PDX 模型中的功效，以及 3) 种族差异对胰腺癌早期发展的贡献以及未来的项目 将以它们为基础，并向所有 CaRE2 中心成员和整个科学界传播 及时。我们将通过三个目标来实现这些目标。第一个目标，我们将与项目 PI 合作 针对这些项目的特定需求及其高度独特的需求，优化数据管理的最佳实践 数据集。第一个目标建立了开发和维护中央数据、资源和样本的协议 管理系统可实现多个学科之间的接口，包括基因组学、基础科学、 和临床医学。第二个目标是确保所有数据都是高质量的、符合良好的标准 实验室实践规范，并分发给所有 CaRE2 中心成员和科学界 及时向整个社区通报。第三个目标是提供生物信息学、统计和 为 CaRE2 中心提供方法支持和教育机会。