Core--Biomedical Informatics

核心--生物医学信息学

• 批准号: 7064119
• 负责人: Russell S Thomas
• 金额: $ 15.05万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7064119
• 关键词: affinity chromatography; aromatic hydrocarbon receptor; benzofurans; bioinformatics; biomedical facility; biotechnology; carbopolycyclic compound; computer data analysis; data management; dioxins; environmental contamination; functional /structural genomics; halobiphenyl /halotriphenyl compound; information retrieval; microarray technology; molecular biology; proteomics; training; affinity chromatography; aromatic hydrocarbon receptor; benzofurans; bioinformatics; biomedical facility; biotechnology; carbopolycyclic compound; computer data analysis; data management; dioxins; environmental contamination; functional /structural genomics; halobiphenyl /halotriphenyl compound; information retrieval; microarray technology; molecular biology; proteomics; training

An integrated approach for investigating the biomolecular responses to Ahr ligands necessitates the application of modern genomic and proteomic tools. By utilizing these tools, the individual projects will be generating significant amounts of data that must be managed, stored, analyzed, and mined in order to derive knowledge from the mass of information. The Biomedical Informatics Core (BIG) was formed to perform these functions. The primary mission of the BIC is to enable the biomedical investigators to derive optimal use of genomic and proteomic data in the most efficient manner possible. To obtain this goal, the general philosophy of the BIC is that responsibility for data interpretation should reside with the individual investigators since they are the experts in the biological systems in which they are studying. Our responsibility as a core is to provide consistent preliminary data analysis, software tools, data management infrastructure, and training necessary for their success. This mission will be implemented through the following specific aims: (1) develop the infrastructure necessary to manage and store microarray and tandem affinity purification (TAP) data; (2) perform initial microarray data analysis for biomedical investigators and provide commercial and custom software tools for the visualization and analysis of microarray and TAP data; and (3) provide training and support to all biomedical investigators on the application and utilization of the software tools in relation to their specific analysis needs. For the large, complex datasets present in genomic and proteomic studies, the visual and intuitive capabilities of individual investigators must be coupled with computational analysis in order to recognize important patterns within the data. Establishing the BIC will insure a central repository will exist for all gene expression and TAP data and will enable efficient data mining to occur within and across projects.

研究对AHR配体的生物分子反应的综合方法需要 现代基因组和蛋白质组学工具的应用。通过利用这些工具，各个项目将是 生成大量必须管理​​，存储，分析和开采的数据，以得出 来自信息质量的知识。形成了生物医学信息学核心（BIG） 这些功能。 BIC的主要任务是使生物医学研究人员得出最佳 以最有效的方式使用基因组和蛋白质组学数据。为了获得这个目标， BIC的哲学是，数据解释的责任应与个人有关 研究人员是他们正在研究的生物系统专家。我们的 作为核心的责任是提供一致的初步数据分析，软件工具，数据管理 基础设施和成功所必需的培训。该任务将通过 以下具体目的：（1）开发管理和存储微阵列所需的基础架构 串联亲和力净化（TAP）数据； （2）对生物医学进行初始微阵列数据分析 调查人员并提供商业和自定义软件工具，以可视化和分析 微阵列和点击数据； （3）向所有生物医学研究人员提供培训和支持 与其特定分析需求有关的软件工具的应用和利用。对于大的 基因组和蛋白质组学研究中存在的复杂数据集，个人的视觉和直观功能 必须将研究人员与计算分析相结合，以识别重要模式 数据。建立BIC将为所有基因表达和点击数据以及 将使有效的数据挖掘能够在项目内部和整个项目内进行。