Exposure Biology Informatics Facility Core

暴露生物学信息学设施核心

• 批准号: 10189590
• 负责人: Blanca E Himes
• 金额: $ 15.12万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 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 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10189590
• 关键词: Air Pollution; Area; Artificial Intelligence; Award; Big Data; Bioinformatics; Biological Markers; Biological Specimen Banks; Biology; Biosensor; Certification; Communities; Computer software; Computing Methodologies; Consultations; Core Facility; Data; Data Analyses; Data Science; Data Sources; Databases; Degree program; Development; Education; Educational workshop; Electronic Health Record; Ensure; Environmental Exposure; Environmental Health; Equipment; Event; Exposure to; Genomics; Goals; Health; Health Sciences; Human Subject Research; Informatics; Integrative Medicine; Knowledge; Link; Lung; Machine Learning; Master' s Degree; Measures; Molecular; Multiomic Data; National Institute of Environmental Health Sciences; Neurosciences; Office of Administrative Management; Organism; Outcome; Pathway interactions; Patients; Pilot Projects; Population Research; Predisposition; Process; Proteomics; Public Health; Research; Research Design; Research Personnel; Research Project Grants; Research Support; Resources; Role; Services; Software Engineering; Source; Strategic Planning; Toxicology; Training; Vision; Visual; Work; adverse outcome; base; biomedical informatics; computer program; computer science; computing resources; data dissemination; data integration; data management; data to knowledge; data visualization; early experience; electronic data; environment related cancer; environmental toxicology; epigenomics; human subject; improved; informatics infrastructure; informatics tool; innovation; metabolomics; next generation sequencing; open source; population health; skills; tool; transcriptomics; web site

EXPOSURE BIOLOGY INFORMATICS CORE (EBIC): ABSTRACT The Exposure Biology Informatics Core (EBIC) is dedicated to providing informatics support to CEET investigators in the areas of chemoinformatics resource management and analysis, bioinformatics application development, multi-omics data management and integration, next-generation sequencing (NGS) data analysis, biomedical informatics to extract data from the Electronic Health Record (EHR), computer programming, artificial intelligence and machine learning, and data visualization. For this purpose, we have assembled a diverse team of experts with complementary skills in computer science, data science, and genomics to build a powerful informatics infrastructure that is prepared for biomedical and environmental big-data. The vision for EBIC is to provide seamless support for routine use of innovative computational methods that embrace the complexity of exposure biology and environmental health and enable the conversion of big-data into knowledge to advance Precision Public Health (PPH). A central goal of the EBIC is to work closely with CEET investigators in both a collaborative and support role to understand adverse outcome pathways (AOP) or constructs that go from the exposure to molecular initiating events to downstream key events to organism and population health outcomes. The primary objectives of the EBIC are organized around eight specific aims. In Aim 1: we will provide state-of-art informatics services to research groups that otherwise would not have access to these computational approaches. In Aim 2: We will support the CEET thematic areas in Air Pollution & Lung Health, Environmental Exposures & Cancer, Windows-of-Susceptibility, and Environmental Neuroscience with informatics services. In Aim 3: We will optimize EBIC services through prioritization. In Aim 4: We will support the CEET pilot projects with informatics services. In Aim 5: We will provide access to state-of-the-art computational equipment and software. In Aim 6: We will ensure that EBIC supports the activities of the Integrative Health Sciences Facility Core and the Translational Biomarker Core with informatics support for human subject/population research. In Aim 7: We will provide educational opportunities and training in informatics which is an optional experience for Early Stage Investigators. In Aim 8: We will disseminate informatics, data software and new tools to the larger environmental health sciences community .

暴露生物学信息学核心 (EBIC)：摘要 暴露生物学信息学核心 (EBIC) 致力于为 CEET 提供信息学支持 化学信息学资源管理和分析、生物信息学应用领域的研究人员 开发、多组学数据管理和集成、下一代测序 (NGS) 数据分析、 从电子健康记录 (EHR) 中提取数据的生物医学信息学、计算机编程、 人工智能和机器学习以及数据可视化。为此，我们组建了一个 由在计算机科学、数据科学和基因组学方面具有互补技能的多元化专家团队共同构建 为生物医学和环境大数据准备的强大信息学基础设施。愿景 EBIC 旨在为创新计算方法的日常使用提供无缝支持，这些方法涵盖 暴露生物学和环境健康的复杂性，并能够将大数据转化为知识 推进精准公共卫生 (PPH)。 EBIC 的中心目标是与 CEET 研究人员密切合作 发挥协作和支持作用，以了解不良结果途径 (AOP) 或结构 从暴露于分子起始事件到下游关键事件，再到生物体和群体健康 结果。 EBIC 的主要目标围绕八个具体目标进行组织。目标 1：我们将提供 为研究小组提供最先进的信息学服务，否则这些研究小组将无法获得这些计算 接近。目标 2：我们将支持 CEET 空气污染与肺部健康、环境等主题领域 暴露与癌症、易感性窗口和环境神经科学与信息学服务。在 目标 3：我们将通过优先级来优化 EBIC 服务。目标 4：我们将支持 CEET 试点项目 与信息学服务。目标 5：我们将提供最先进的计算设备和 软件。目标 6：我们将确保 EBIC 支持综合健康科学设施的活动 核心和转化生物标志物核心，为人类受试者/人群研究提供信息学支持。在 目标 7：我们将提供信息学方面的教育机会和培训，这是一种可选的体验 早期研究人员。目标 8：我们将向更大范围传播信息学、数据软件和新工具 环境健康科学界。