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Core C- Data Analysis Core

核心C-数据分析核心

基本信息

批准号：
10705756
负责人：
Veerabhadran Baladandayuthapani
金额：
$ 17.46万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-16 至 2027-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10705756
关键词：
Archives Area Bioinformatics Biological Assay Biometry Cancer Biology Cancer cell line Case Report Form Clinical Data Clinical Research Clinical Trials Clinical Trials Design Clinical Trials Network Cohort Studies Collaborations Collection Communication Complement DNA Damage Data Data Analyses Data Collection Data Set Data Sources Databases Dedications Dependence Development Diagnosis Encyclopedias Ensure Epidemiology Experimental Designs Generations Genetic Genomics Human Resources Information Dissemination Infrastructure Institution Investigational Therapies Knowledge Li-Fraumeni Syndrome Link Location Malignant Neoplasms Manuscripts Maps Methodological Studies Methodology Michigan Molecular Nature Patients Policies Population Database Prospective cohort Quality Control Registries Reproducibility Research Research Activity Research Design Research Personnel Resources Sampling Source Time Universities Utah Work adverse event monitoring career development computational platform data access data management data mining data quality data standards drug sensitivity epidemiology study experience experimental study genomic data health data improved leiomyosarcoma member multidisciplinary novel strategies programs public repository radiomics research study response sample collection single-cell RNA sequencing transcriptome sequencing translational study trial design

项目摘要

Core C – Data Analysis Core - Summary/Abstract: The objective of the Data Analysis Core (DAC) is to provide a comprehensive, multidisciplinary resource for the research associated with the SPORE. The needs of these projects require a wide breath of biostatistics and bioinformatics analytical knowledge as well as computational expertise. The DAC will provide biostatistical and bioinformatic collaboration in support of the discovery, translational, and clinical studies associated with the SPORE research activities. The comprehensive nature of this core assures each SPORE investigator access to expertise that includes collaborative development of study designs, collection and management of data, generation of analysis plans, support for clinical trials, analysis of data, interpretation of data, development of computational platforms for data mining, and dissemination of results (e.g., abstracts, presentations, manuscripts). Furthermore, the DAC will facilitate knowledge-sharing among the projects and cores by identifying and communicating best practices, standardizing data when possible, centralizing data for use across the projects, and conveying results to SPORE investigators in a timely fashion. Finally, the core is poised to develop new methodology when needed to support the SPORE research as well as to adapt to changes in research strategy in response to new or unexpected findings. In summary, to support all proposed SPORE projects, the Career Development and Developmental Research Programs, the other cores, and related SPORE research, the DAC will (1) provide biostatistics and bioinformatics collaboration for all SPORE research activities, (2) facilitate data collection, management, integration, and storage for SPORE research activities, and (3) develop and implement methodology that enhances the research across the SPORE projects. The members of DAC will work closely with team members of each of the projects. In addition, they will collaborate closely with bioinformatics personnel within the research teams of the project PIs to ensure alignment of the statistical aspects with the bioinformatics efforts and allow the integration of bioinformatics data across projects. The members of DAC will engage in regular communication with SPORE projects, other Cores, SPORE PIs.

核心C -数据分析核心-摘要/摘要：