Informatics Core

信息学核心

• 批准号: 8321403
• 负责人: SARAH ANNE COOLEY
• 金额: $ 13.77万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-17 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8321403
• 关键词: Algorithms; Alleles; Basic Science; Cancer Center; Clinical; Clinical Trials; Complex; Data; Data Analyses; Data Quality; Data Set; Databases; Development; Donor Selection; Donor person; Equipment and supply inventories; Faculty; Frequencies; Gene Frequency; Genes; Genotype; Goals; Grant; Haplotypes; Health Insurance Portability and Accountability Act; Immunogenetics; Individual; Informatics; Information Dissemination; Instruction; Intercistronic Region; Intergenic Sequence; Laboratories; Life; Ligands; Maintenance; Medical; Methods; Minnesota; Monitor; Natural Killer Cells; Participant; Patients; Phase; Process; Program Research Project Grants; Reporting; Research; Research Infrastructure; Resolution; Resource Sharing; Resources; Sampling; Science; Secure; Sequence Alignment; Site; Software Tools; Technical Expertise; Trust; Universities; base; cancer Biomedical Informatics Grid; data integration; data integrity; data sharing; expectation; meetings; operation; programs; promoter; receptor; research study; tool; web based interface

The primary objective of the Informatics Core is to contribute to the science and operation of the Program Project by providing the informatics infrastructure and specialized technical expertise required to support the complex data integration and analysis needs of the grant. The scientific goals of the Projects are highly integrated and will require the analysis of shared data in an iterafive fashion throughout the five years. The Core is split into two teams, each with its own faculty director. The University of Minnesota team (MN Team) is led by Dr. Sarah Cooley, Director of the Masonic Cancer Center Medical Informafics Shared Resources. The MN team is responsible for the development and maintenance of database applications to collect, integrate and report research data generated by the projects for subsequent analysis. In addition they will support and customize the clinical trials management applicafion to meet the research and regulatory data requirements for the complex (phase I, IND, mulfi-center) trials in Projects 2 and 3. The sharing of research samples will be coordinated through this Core with a customized sample inventory management tool. Lasfiy, this team will develop and support the SOPs for data quality, data integrity, and data sharing, in compliance with HIPAA and caBIG principles. This team has collaborated in the development of the scientific plan by developing data collecfion and management plans specific to each aim, and will remain acfively involved with each Project and Core throughout the life of this grant to monitor data quality and prepare datasets for analysis. The second team, led by Dr. Steven GE Marsh from the Anthony Nolan Trust, is responsible for the unique and specialized tools required for the storage, sharing and analysis of immunogenefic KIR data. The IPD-KIR database was established during the first cycle of this POI, and has proved a valuable resource for data analysis. They will confinue to produce software tools to calculate KIR gene frequencies, allele frequencies and to esfimate haplotypes and their frequencies at allelic level, define new alleles discovered by the Projects and Core D, and provide data crucial for the development of the high-resolufion typing strategy to be employed in Project 1 (Parham) and Core D. Addifionally they will provide sequence alignment tools for the analysis and visualizafion of the intergenic regions between KIR genes (Project 2). To support the clinical trials, they will develop a simple tool to predict the KIR haplotypes in any given individual, and indicate their content in terms of the centromeric and telomeric portions of the haplotype. The scientific expertise provided by this team will be invaluable to analyze and interpret immunogenetic data.

信息学核心的主要目的是为该计划的科学和运作做出贡献 通过提供支持的信息基础架构和专门的技术专长来支持该项目 赠款的复杂数据集成和分析需求。项目的科学目标很高 整合，需要在整个五年中以迭代局的方式分析共享数据。这 核心分为两个团队，每个团队都有自己的教职员工。明尼苏达大学（MN团队） 由共济会癌症中心医疗信息提供资源的主任Sarah Cooley博士领导。 MN团队负责开发和维护数据库应用程序以收集， 整合和报告项目生成的研究数据以进行后续分析。另外，他们将 支持并自定义临床试验管理应用程序，以满足研究和监管数据 项目2和3中的复杂（I期，IND，Mulfi-Center）试验的要求。研究的共享 样品将通过此核心通过定制的样本库存管理工具进行协调。拉斯菲， 该团队将根据合规性开发和支持SOP的数据质量，数据完整性和数据共享 带有HIPAA和CABIG原则。该团队已在制定科学计划的制定中合作 制定针对每个目标的数据集合和管理计划，并将与 每个项目和核心在这笔赠款的整个生命中，以监视数据质量并准备数据集 分析。由安东尼·诺兰（Anthony Nolan）信托基金（Anthony Nolan Trust）的史蒂文·盖·马什（Steven Ge Marsh）领导的第二支球队负责 存储，共享和分析免疫法KIR数据所需的独特和专业工具。这 IPD-KIR数据库是在此POI的第一个周期内建立的，并证明了宝贵的资源 数据分析。他们将限制生产软件工具来计算KIR基因频率，等位基因 在等位基因级别的频率和Esfimate单倍型及其频率，定义了发现的新等位基因 通过项目和核心D，并为开发高分辨率打字提供数据至关重要 在项目1（Parham）和核心D中采用的策略。 用于分析和可视化基因之间基因间区域的工具（项目2）。支持 在临床试验中，他们将开发一个简单的工具来预测任何给定个人的KIR单倍型，以及 根据单倍型的centromeric和端粒部分表示它们的内容。科学 该团队提供的专业知识将是无价的，可以分析和解释免疫遗传数据。