Biostatistics and Bioinformatics Core Facility

生物统计学和生物信息学核心设施

• 批准号: 10666697
• 负责人: Megan Orr
• 金额: $ 14.73万
• 依托单位: NORTH DAKOTA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10666697
• 关键词: Applications Grants; Area; Artificial Intelligence; Big Data; Bioinformatics; Biometry; Biostatistics Core; Cancer Research Project; Career Mobility; Centers of Research Excellence; Clinical Research; Collaborations; Communities; Core Facility; Data; Data Analyses; Data Reporting; Data Scientist; Data Set; Development; Diagnostic; Early Diagnosis; Early treatment; Ensure; Experimental Designs; Experimental Models; Faculty; Formulation; Funding; Genetically Engineered Mouse; Human Resources; Institution; Knowledge; Machine Learning; Malignant neoplasm of pancreas; Mesenchymal Stem Cells; Methodology; Methods; Mining; Multiomic Data; Names; North Dakota; Pancreas; Peer Review; Phase; Play; Positioning Attribute; Preparation; Process; Publications; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Resources; Role; Sample Size; Secure; Services; Statistical Data Interpretation; Study models; Techniques; Therapeutic; Tissue Sample; Training; Universities; Work; anticancer research; deep learning; design; drug candidate; effectiveness evaluation; experience; experimental analysis; experimental study; in vivo; interest; learning strategy; member; mouse model; nanoengineering; neoplastic cell; oxaliplatin; pre-clinical; pre-clinical research; preference; secondary analysis; translational barrier; translational scientist; tumor

Project Summary There are many challenges to securing significant funding from federal agencies, particularly for junior faculty members. A major obstacle for translational and pre-clinical researchers is a lack of access to comprehensive data analysis support. In Phase I of the COBRE Center for Diagnostic and Therapeutic Strategies in Pancreatic Cancer (CDTSPC), the Biostatistics Core was established to serve as a networking, training, and consulting resource for junior faculty conducting research on pancreatic cancer, as well as for other scholars on campus seeking to form collaborative partnerships with data scientists. In the Phase II continuation of this project, the (newly re-named) Biostatistics and Bioinformatics Core (B2C) will continue to play an integral role in the CDTSPC by providing high-quality, comprehensive study design and data analysis to all researchers of the CDTSPC and North Dakota State University. Core personnel will assist CDTSPC investigators with all statistical aspects of their translational and pre-clinical pancreatic cancer research projects in all stages of the process, increasing the likelihood of CDTSPC researchers securing federally-funded research grants by ensuring properly designed and well-powered experiments. Securing major funding is essential for the career advancement of CDTSPC Junior Investigators and the Core, whose sustainability is realized through the receipt of competitive federal funding. As the only Biostatistics and Bioinformatics Core specializing in pancreatic cancer research in the region, the B2C will also provide support for projects involving analysis beyond the traditional statistical techniques of the bench and clinical research into other emerging areas of “big data” research, including bioinformatics, artificial intelligence, and machine learning. For Phase II, the B2C Core aims are (1) to proactively assist in the statistical design and implementation of all types of research, with an emphasis on translational and pre-clinical pancreatic cancer research and (2) to assist in data analysis and reporting of post-experiment data. The B2C is uniquely positioned to facilitate interdisciplinary and multi-paradigmatic research. The B2C faculty members have a wide range of expertise in study design and data analysis methods and extensive experience in collaborating with researchers in pancreatic cancer and many other areas of research. Using this expertise, B2C staff will assist COBRE investigators with their projects, leading to advanced knowledge and treatment of pancreatic cancer, and will meet the crucial need of reliable data analysis support to researchers at NDSU.

项目摘要 要从联邦机构获得大量资金，尤其是对初级教师来说，有许多挑战 成员转化和临床前研究人员的一个主要障碍是缺乏全面的信息来源。 数据分析支持。在COBRE胰腺癌诊断和治疗策略中心的I期研究中， 癌症（CDTSPC），生物统计学核心成立，作为一个网络，培训和咨询， 为从事胰腺癌研究的初级教师以及校园内的其他学者提供资源 寻求与数据科学家建立合作伙伴关系。在该项目的第二阶段延续中， 生物统计学和生物信息学核心（B2C）将继续在CDTSPC中发挥不可或缺的作用 通过向CDTSPC的所有研究人员提供高质量，全面的研究设计和数据分析， 北达科他州州立大学。核心人员将协助CDTSPC调查员处理所有统计方面的工作 他们的转化和临床前胰腺癌研究项目在这个过程的所有阶段，增加了 CDTSPC研究人员通过确保适当设计赠款 强大的实验。获得主要资金对CDTSPC Junior的职业发展至关重要 调查员和核心，其可持续性通过接受竞争性联邦资金来实现。 作为该地区唯一专门从事胰腺癌研究的生物统计学和生物信息学核心， B2C还将为涉及传统统计技术以外的分析的项目提供支持。 实验室和临床研究的其他新兴领域的“大数据”研究，包括生物信息学，人工 智能和机器学习。对于第二阶段，B2C核心目标是（1）积极协助统计 设计和实施所有类型的研究，重点是转化和临床前胰腺 癌症研究和（2）协助数据分析和实验后数据的报告。B2C是独一无二的 定位于促进跨学科和多范式的研究。B2C教师拥有广泛的 研究设计和数据分析方法方面的一系列专业知识，以及与 研究人员在胰腺癌和许多其他领域的研究。利用这些专业知识，B2C工作人员将协助 COBRE研究人员与他们的项目，导致先进的知识和胰腺癌的治疗， 并将满足NDSU研究人员对可靠数据分析支持的迫切需求。