Bioinformatics Core

生物信息学核心

• 批准号: 9985276
• 负责人: Kenneth Michael Boucher
• 金额: $ 3.72万
• 依托单位: UNIVERSITY OF UTAH
• 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/9985276
• 关键词: Adopted; Animals; Bioinformatics; Bioinformatics Shared Resource; Biometry; Biostatistics Core; Biostatistics Shared Resource; Breast Cancer therapy; Budgets; Complex; Computer software; Core Facility; Data; Data Analyses; Databases; Deposition; Development; Doctor of Philosophy; Experimental Designs; Funding; Goals; Human Resources; Institutes; Institution; Joints; Malignant Neoplasms; Manuscripts; Medicine; Modeling; Molecular; Organoids; Participant; Patients; Persons; Pharmaceutical Preparations; Pharmacotherapy; Pilot Projects; Procedures; Recording of previous events; Reporting; Research Personnel; Research Project Grants; Resources; Site; Standardization; Statistical Models; Teleconferences; Work; Writing; base; biomedical informatics; cBioPortal; college; data exchange; data sharing; design; genomic data; informatics shared resource; operation; preclinical trial; response; secondary analysis; success; tumor

Project Summary The PDTC Biostatistics and Bioinformatics Core is a key integration point of the PDTC, and will provide the expertise to not only interpret complex “omics” data that is already associated with each of our PDX models, but also the expertise to identify molecular features of tumors that positively or negatively correlate with drug responses. The goals of the PDTC Biostatistics and Bioinformatics Core are: 1. To provide statistical modeling for experimental design, particularly with respect to animal preclinical trials and their analyses, for both Research Projects and Pilot Projects. 2. To collaborate in research projects’ data analysis, interpretation of results, and the writing of final study reports and manuscripts. 3. To develop standard practices for experimental design and analytics that can be implemented at HCI and BCM, and across the PDXNet. 4. Perform primary and secondary analysis of genomic data, identification of statistically significant changes, and data organization and distribution. 5. To facilitate data exchange between HCI and BCM, and across the PDXNet. 6. To maximize use of existing support for the two existing institutional cores at HCI and BCM in support of patient-derive organoid (PDO) and PDX-based work, including software and database development. !

项目摘要 PDTC生物统计和生物信息学核心是PDTC的关键集成点，将提供 专业知识不仅能解释已经与我们的每个PDX模型相关联的复杂的“组学”数据，而且 还有识别与药物呈正相关或负相关的肿瘤分子特征的专业知识 回应。PDTC生物统计和生物信息学核心的目标是： 1.为实验设计提供统计建模，特别是关于动物临床前试验 以及他们对研究项目和试点项目的分析。 2.合作研究项目的数据分析、结果解释和最终研究报告的撰写 报告和手稿。 3.制定可在人机界面实施的实验设计和分析的标准做法 BCM，以及整个PDXNet。 4.对基因组数据进行初级和二级分析，确定具有统计意义的 更改以及数据组织和分发。 5.促进人机界面和BCM之间以及跨PDXNet的数据交换。 6.最大限度地利用现有的支助，以支持人力部和总部管理处的两个现有机构核心 病人衍生有机化合物(PDO)和基于PDX的工作，包括软件和数据库开发。 好了！