FC1: QUANTITATIVE BIOLOGY

定量生物学设施核心(QBFC)是综合设施核心计划的一部分，该计划包括 综合发现渠道中的假设生成、测试和翻译资源，旨在 加快和推进创新理念从假设到实践。量化的主要目标是 生物核心(QBFC)是为CTEHR研究人员和受训人员提供获得最先进基因组学的途径， 生物信息学、生物统计学和计算生物学基础设施。QBFC将使一个独特的 通过促进使用大规模计算能力来促进中心成员的研究 基因调控网络的建立.受环境影响的疾病状态的表征 动态行为；以及基于对调控途径的分析预测新的环境目标。通过 将QBFC数据分析能力与高级成像和目标化活动相结合 基因组学设施的核心，CTEHR的调查人员将能够发展一个系统层面的理解 EHS研究中的复杂问题。QBFC将通过执行以下任务来支持CTEHR任务 具体目标： 目标1.提供各种最先进的基因组学、生物统计学和生物信息学资源，以解决 CTEHR成员的不同需求； 目标2.通过提供强有力的培训(有针对性的教育)和 研究生、博士后研究员和教职员工职业发展方案； 目标3.开发和实施尖端数据集成(积分学)和计算生物学 CTEHR会员申请表。 通过向QBFC的中心成员提供的专业知识和资源，调查人员将能够 利用完整的基因组分析，包括：非编码RNA(microRNA和lncRNA)，RNA-Seq， 芯片序列，DNA甲基化，微阵列，qPCR低密度阵列，单细胞转录，核糖体 图谱分析和原位杂交。自大型下一代数据集的产生以来，它正成为 了解细胞生理学和对环境应激源的反应，QBFC将在 CTEHR成员进行和分析假设生成以及假设检验的能力， 利用这些庞大而复杂的数据集进行的EHS研究。

The Quantitative Biology Facility Core (QBFC) is part of an integrated Facility Core program consisting of hypothesis generating, testing, and translational resources within an Integrated Discovery Pipeline, designed to accelerate and advance innovative ideas from hypothesis to practice. The primary goal of the Quantitative Biology Core (QBFC) is to provide CTEHR investigators and trainees with access to state-of-the-art genomics, bioinformatics, biostatistics and computational biology infrastructure. The QBFC will make a unique contribution to Center member research by facilitating the use of large scale computing capabilities for the building of gene regulatory networks; characterization of environmentally impacted disease states exhibiting dynamic behavior; and prediction of new environmental targets based on analyses of regulatory pathways. By integrating the QBFC data analysis capabilities with the activities of the Advanced Imaging and Targeted Genomics Facility Cores, CTEHR investigators will be able to develop a systems level understanding of complex problems in EHS research. The QBFC will support the CTEHR mission by carrying out the following Specific Aims: Aim 1. Provide a wide range of state-of-the-art genomics, biostatistics and bioinformatics resources to address the diverse needs of CTEHR members; Aim 2. Further the educational mission of the CTEHR by providing a robust training (targeted education) and career development program for graduate students, postdoctoral fellows and faculty; Aim 3. Develop and implement cutting-edge data integration (integromics) and computational biology applications for CTEHR members. Through expertise and resources made available to Center members in the QBFC, investigators will be able to utilize a full complement of genomic analyses including: non-coding RNAs (microRNA and lncRNA), RNA-Seq, ChIP-Seq, DNA methylation, microarrays, qPCR low-density arrays, single cell transcriptomics, ribosome profiling, and in situ hybridization. Since generation of large, NextGen data sets is becoming a central tool for understanding cellular physiology and response to environmental stressors, the QBFC will play a major role in the ability of CTEHR members to conduct and analyze hypothesis generating, as well as hypothesis testing, EHS research utilizing these large, complex data sets.