Pan Omics and Data Science Core

泛组学和数据科学核心

• 批准号: 10649430
• 负责人: Maureen Agnes Sartor
• 金额: $ 22.91万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-15 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10649430
• 关键词: Acceleration; Address; Applications Grants; Applied Research; Area; Basic Science; Bioinformatics; Biological; Biological Assay; Biological Markers; Cells; Classification; Clinical; Collaborations; Communities; Data; Data Science; Data Science Core; Data Scientist; Databases; Dedications; Development; Disease; Environmental Exposure; Environmental Health; Environmental Impact; Epigenetic Process; Event; Evolution; Faculty; Funding; Genetic; Genomics; Health; Human; Hybrids; Laboratories; Life; Link; Machine Learning; Measures; Metagenomics; Methodology; Methods; Michigan; Mission; Molecular; National Institute of Environmental Health Sciences; Pathway Analysis; Phenotype; Population; Precision Health; Preparation; Process; Proteomics; Protocols documentation; Public Health; Publications; Recommendation; Regulation; Research; Research Design; Research Personnel; Resources; Sampling; Scientist; Services; Students; Techniques; Technology; Training; Translational Research; Translations; Visualization; Writing; bioinformatics tool; biomarker signature; community engagement; cost; data management; data sharing; data visualization; design; epigenomics; experience; genome-wide; health science research; innovation; interest; member; metabolomics; multiple omics; new technology; novel; sample collection; statistical learning; technology platform; tool; transcriptomics

ABSTRACT (Pan Omics and Data Science Core) The use of multi-omics techniques, including single-cell omics, in environmental health sciences (EHS) research continues to grow rapidly, and the use of advanced machine learning and statistical learning techniques to make translational predictions with these data is becoming ever more essential. As such, staying on the cutting edge with these tasks can be overwhelming. The objective of the Pan Omics and Data Science (PODS) Core is to provide comprehensive and innovative support to investigators in the Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD) for the study design, sample preparation, analysis, interpretation, and integration of a broad range of omics-based studies, and to educate them on available opportunities. The PODS Core streamlines the entire process of an omics study, allowing M- LEEaD investigators to dedicate more of their own resources to answering difficult environmental health science questions. Lifestage-specific exposures may have detrimental effects on human health via any of several mechanisms, including epigenetic, genetic, transcriptomic, proteomic, metagenomic, metabolomic, and adductomic. Thus, in the new funding period the PODS Core aims to broaden its reach both in terms of the omics technologies supported, and the statistical and data science methods used. We will achieve this through building a close-knit community of UM experts in these areas and interest/experience in EHS. The PODS Core objective will be accomplished through four specific aims. First, we will provide M-LEEaD investigators expertise in the study design and implementation of a broad range of molecular studies, including technology platform choice, sample collection and preparation, and engagement with key UM resources. Second, we will provide bioinformatics analysis and data science services for a broad range of omics approaches and integrative analyses. Third, the PODS Core will support the community through development of novel bioinformatics methods and tools and protocols for novel technologies staying apace with technological advancements. Finally, the PODS Core educates M-LEEaD Center faculty, staff, and students on omics assays and data science relevant to EHS research, and promotes partnerships between environmental scientists and data scientists. M-LEEaD investigators benefit from several free services and collaborative events offered by PODS, which enables and strengthens Fundamental Questions and also Application and Synthesis in the NIEHS Translational Research Framework.

摘要（Pan Omics和Data Science Core） 在环境健康科学（EHS）中使用多摩斯技术，包括单细胞OMICS（EHS） 研究继续迅速增长，并使用先进的机器学习和统计学习 通过这些数据进行翻译预测的技术变得越来越重要。像这样， 通过这些任务保持最前沿可能是压倒性的。 PAN OMICS和数据的目的 科学（POD）核心是为密歇根州的调查人员提供全面和创新的支持 研究设计的Lifestage环境暴露与疾病（M-Leead），样品 准备，分析，解释和整合广泛的基于OMIC的研究并进行教育 他们有可用的机会。 PODS核心简化了OMICS研究的整个过程，允许M- Leead调查人员将更多的资源专门用于回答困难的环境健康 科学问题。特定于生命的暴露可能会对人类健康产生不利影响 几种机制，包括表观遗传学，遗传学，转录组，蛋白质组学，宏基因组，代谢组学和 加成部分。因此，在新的资金期间，Pods Core的目的是从 OMICS技术得到了支持，以及所使用的统计和数据科学方法。我们将通过 在这些领域建立了一个密切联系的UM专家社区，并在EHS中建立了兴趣/经验。豆荚核心 目标将通过四个特定目标来实现。首先，我们将为M-Leead调查人员提供 研究设计和实施广泛分子研究的专业知识，包括技术 平台选择，样本收集和准备以及与关键UM资源的参与。第二，我们会的 为广泛的OMIC方法提供生物信息学分析和数据科学服务，并 综合分析。第三，豆荚核心将通过开发小说来支持社区 新技术的生物信息学方法和工具和协议，以技术为基础 进步。最后，Pods Core对M-Leead中心的教职员工和学生教育了OMICS 与EHS研究相关的测定和数据科学，并促进环境之间的伙伴关系 科学家和数据科学家。 M-Leead调查人员受益于多种免费服务和协作 POD提供的活动，该活动能够启用和加强基本问题以及应用程序以及 NIEHS转化研究框架中的合成。