Core--Biomedical Informatics

核心--生物医学信息学

• 批准号: 7466407
• 负责人: Russell S Thomas
• 金额: $ 13.9万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 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/7466407
• 关键词: Address; Affinity Chromatography; Atlases; Binding; Biological; Chemicals; Complex; Computer Analysis; Computer software; Coupled; Custom; Data; Data Analyses; Data Set; Databases; Gene Expression; Gene Expression Microarray Analysis; Genomics; Goals; Imagery; Individual; Java; Knowledge; Laboratories; Language; Management Information Systems; Microarray Analysis; Mining; Mission; Pattern; Philosophy; Protein Analysis; Proteins; Proteomics; Research Infrastructure; Research Personnel; Sampling; Site; Software Tools; Standards of Weights and Measures; System; Testing; Training; Training Support; Training and Infrastructure; Visual; aryl hydrocarbon receptor ligand; base; biomedical informatics; data management; data mining; repository; research study; response; spelling; success; tool

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.

一种研究AhR配体的生物分子响应的综合方法需要 现代基因组学和蛋白质组学工具的应用。通过利用这些工具，单个项目将被 生成大量数据，必须对这些数据进行管理、存储、分析和挖掘，以便派生 从海量信息中获取知识。成立生物医学信息学核心(BIG)是为了执行 这些功能。BIC的主要任务是使生物医学研究人员能够获得最佳的 以尽可能最有效的方式使用基因组和蛋白质组数据。为了达到这个目标，将军 BIC的理念是，数据解释的责任应该由个人承担 研究人员，因为他们是他们所研究的生物系统的专家。我们的 作为核心的职责是提供一致的初步数据分析、软件工具、数据管理 基础设施，以及成功所需的培训。这项任务将通过 具体目标如下：(1)发展管理和储存微阵列所需的基础设施 串联亲和纯化(TAP)数据；(2)执行生物医学的初始微阵列数据分析 调查人员并提供商业和定制软件工具，用于可视化和分析 微阵列和TAP数据；以及(3)为所有生物医学研究人员提供关于 软件工具的应用和利用与其特定的分析需求有关。对于大多数人来说， 基因组和蛋白质组研究中存在的复杂数据集，个体的视觉和直觉能力 调查人员必须与计算分析相结合，以便识别出 数据。建立BIC将确保存在一个中央存储库，用于存储所有基因表达和TAP数据 将使高效的数据挖掘能够在项目内部和跨项目进行。