Bioinformatics Core

生物信息学核心概述 由“组学”实验平台产生的细胞状态读数已成为不可或缺的， 现代环境健康科学（EHS）研究。越来越多的新生成的组学数据 公共领域大数据资源的补充。将组学数据转换为机械 了解复杂疾病背后的生物过程需要先进的计算和 数据资源和先进的生物信息学方法的应用。生物信息学方法的气息 现代EHS研究中使用的工具需要生物医学不同领域的专家参与 数据科学，通常超越单个EHS核心中心的界限。 生物信息学核心（BC）的基本作用是为CEG科学家提供 全面、高质量和高性价比的生物信息学支持。BC提供独特的服务， 已经被CEG研究人员广泛使用，并且在未来的研究中可能只会增加重要性。 期除了使用最先进的方法和工具外，BC成员还将开发新的资源， 分析omics数据。不列颠哥伦比亚省还将开发环境卫生LINCS（ehLincs），一个以EHS为中心的网络数据 作为EHS科学家和快速增长的生物医学大数据资源之间的接口，分析门户。 在履行其职责时，BC正在利用多年来积累的硬件、软件、数据资源和专业知识 机构投资以及BC开发的资源和BC成员领导的其他NIH项目， 包括BD 2K-LINCS U 54中心核心的计算资源被高级 辛辛那提儿童医院的性能计算（HPC）资源和BC成员的专业知识 生物信息学和数据科学顾问涵盖广泛的专业知识。 BC有三个具体目标：1）协助CEG研究人员进行实验设计，分析和 管理组学数据; 2）协助CEG研究人员利用公共领域的大数据资源， 他们的研究和开发ehLincs门户网站。3)协助CEG调查人员处理各种 通过将其连接到内部和外部顾问网络，生物信息学面临挑战。 BC还将继续支持CEG的其他职能： 技术支持（ITS）核心，提供计算支持并协助部署新的分析 平台;它将与社区参与核心（CEC）合作，开发一个门户网站， 可视化公民科学家收集的数据;它将支持综合健康科学（IHSF）的工作 核心是分析遗传学和表观遗传学数据集;它将支持试点项目计划（PPP）， 支持社区教育小组试点项目的接受者。BC还将通过建立 ehLincs门户网站，以促进以EHS为中心的生物医学大数据资源的使用。

Summary of Bioinformatics Core Readouts of cellular states produced by “omics” experimental platforms have become indispensable in modern Environmental Health Sciences (EHS) research. Increasingly, newly generated omics data is complemented by public domain Big Data resources. Translating omics data into mechanistic understanding of biological processes underlying complex diseases require advanced computational and data resources, and application of sophisticated bioinformatics methods. The breath of bioinformatics methods and tools used in modern EHS research necessitates involvement of experts in different areas of biomedical data sciences, often going beyond boundaries of individual EHS Core Centers. The fundamental role of the Bioinformatics Core (BC) is to provide CEG scientists with comprehensive, high-quality and cost-effective Bioinformatics support. BC provides unique services that have been extensively used by CEG investigators and are likely to only increase in importance in the next period. In addition to using state-of-the-art methods and tools, BC members will develop new resources for analysis of omics data. BC will also develop Environmental Health LINCS (ehLincs), an EHS-centric web data analysis portal as an interface between EHS scientists and the rapidly growing biomedical Big Data resources. In fulfilling its role, BC is leveraging hardware, software, data resources and know-how resulting from years of institutional investment as well as resources developed by BC and other NIH projects lead by BC members, including the BD2K-LINCS U54 center. Core’s computational resources are augmented by the High Performance Computing (HPC) resources at the Cincinnati Children’s Hospital and BC member’s expertise is augmented by Bioinformatics and data science consultants covering a broad range of expertise. BC has three specific aims: 1) To assist CEG investigators in experimental design, analysis and management of omics data; 2) To assist CEG investigators in leveraging public domain Big Data resources in their research and to develop ehLincs portal. 3) To assist CEG investigators in dealing with diverse bioinformatics challenges by connecting them to a network of internal and external consultants. BC will also continue to support other CEG functions: It will directly support the work of Integrative Technologies Support (ITS) core by providing computational support and assisting in deploying new analytical platforms; It will work with the Community Engagement Core (CEC) to develop a web portal for managing and visualizing data collected by citizen scientists; It will support the work of Integrated Health Sciences (IHSF) core by analysis of genetics and epigenetics datasets; It will support Pilot Project Program (PPP) by prioritizing support to CEG pilot project recipients. BC will also serve the wider EHS research community by building the ehLincs web portal to facilitate EHS-centric use of biomedical Big Data resources.