Exposure Biology Informatics Facility Core

暴露生物学信息学设施核心

• 批准号: 10606573
• 负责人: Blanca E Himes
• 金额: $ 14.32万
• 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/10606573
• 关键词: Air Pollution; Area; Artificial Intelligence; Award; Big Data; Bioinformatics; Biological Markers; Biological Specimen Banks; Biology; Biosensor; Communities; Computer software; Computing Methodologies; Consultations; Core Facility; Data; Data Analyses; Data Science; Data Sources; Databases; Dedications; Degree program; Development; Education; Educational workshop; Electronic Health Record; Ensure; Environmental Exposure; Environmental Health; Equipment; Event; Exposure to; Genomics; Goals; Health Sciences; Human Subject Research; Informatics; Integrative Medicine; Knowledge; Link; Machine Learning; 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; Resource Informatics; Role; Services; Software Engineering; Source; Strategic Planning; Toxicology; Training; Vision; Visual; Work; adverse outcome; biomedical informatics; computer program; computer science; computing resources; data dissemination; data integration; data management; data to knowledge; data visualization; early experience; electronic health data; environment related cancer; environmental toxicology; epigenomics; human subject; improved; informatics infrastructure; informatics tool; innovation; lung health; metabolomics; next generation sequencing; open source; population health; skills; tool; transcriptomics; website development

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）致力于提供信息学支持 化学信息学资源管理和分析领域的研究人员，生物信息学应用 开发，多态数据管理和集成，下一代测序（NGS）数据分析， 生物医学信息学以从电子健康记录（EHR），计算机编程中提取数据， 人工智能和机器学习以及数据可视化。为此，我们组装了 多元化的专家团队具有计算机科学，数据科学和基因组学方面的互补技能，以建立一个 为生物医学和环境大数据准备的强大信息基础设施。愿景 EBIC将为常规使用创新的计算方法提供无缝的支持 暴露生物学和环境健康的复杂性，并使大数据转换为知识 提高精确公共卫生（PPH）。 EBIC的一个核心目标是与CEET调查人员密切合作 在了解不良结果途径（AOP）的协作和支持角色中 从暴露于分子启动事件到下游关键事件到有机体和人口健康 结果。 EBIC的主要目标是在八个特定目标围绕的。在目标1：我们将提供 向研究小组提供的最先进的信息学服务，否则将无法访问这些计算 方法。在AIM 2中：我们将支持空气污染与肺部健康中的CEET主题区域 曝光与癌症，易感窗口和信息神经科学通过信息学服务。在 AIM 3：我们将通过优先级优化EBIC服务。在AIM 4：我们将支持CEET飞行员项目 提供信息服务。在AIM 5中：我们将提供对最先进的计算设备的访问权限 软件。在AIM 6中：我们将确保EBIC支持综合健康科学设施的活动 核心和翻译生物标志物核心，并提供有关人类受试者/人群研究的信息学支持。在 AIM 7：我们将提供有关信息学的教育机会和培训，这是可选的经验 早期调查人员。在AIM 8中：我们将向较大的信息学，数据软件和新工具传播 环境健康科学社区。