FC1: QUANTITATIVE BIOLOGY

FC1：定量生物学

• 批准号: 8862487
• 负责人: Ivan Ivanov
• 金额: $ 10.05万
• 依托单位: TEXAS A&M AGRILIFE RESEARCH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8862487
• 关键词: Address; Behavior; Belief; Bioinformatics; Biology; Biometry; Cell physiology; Cells; ChIP-seq; Complement; Complex; Computational Biology; Computer software; Core Facility; Cues; DNA Methylation; Data; Data Analyses; Data Set; Development; Disease; Education; Environmental Exposure; Environmental Health; Exhibits; Faculty; Generations; Genes; Genomics; Goals; Health; Human; Human Resources; In Situ Hybridization; Individual; Interdisciplinary Study; Learning; MicroRNAs; Mission; Outcome; Phenotype; Play; Postdoctoral Fellow; Process; Regulator Genes; Regulatory Pathway; Research; Research Infrastructure; Research Personnel; Resources; Ribosomes; Role; Scientist; System; Systems Biology; Technology; Testing; Training; Untranslated RNA; Work; base; career development; data integration; density; design; environmental stressor; environmental toxicology; graduate student; improved; innovation; insight; instrument; instrumentation; interdisciplinary collaboration; member; novel; operation; programs; response; targeted imaging; tool; transcriptome sequencing; transcriptomics

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.

定量生物学设施核心（QBFC）是一个综合设施核心计划的一部分，包括 集成发现管道中的假设生成、测试和转换资源，旨在 加速和推进创新理念从假设到实践。量化的主要目标 生物学核心（QBFC）是为CTEHR研究人员和学员提供最先进的基因组学， 生物信息学、生物统计学和计算生物学基础设施。QBFC将为您提供一个独特的 通过促进大规模计算能力的使用，为中心成员的研究做出贡献。 建立基因调控网络;表征受环境影响的疾病状态， 动态行为;和预测新的环境目标的基础上分析的监管途径。通过 将QBFC数据分析能力与高级成像和目标 基因组学设施核心，CTEHR研究人员将能够开发一个系统级的理解， EHS研究中的复杂问题。QBFC将通过开展以下工作支持CTEHR使命 具体目标： 目标1.提供广泛的最先进的基因组学，生物统计学和生物信息学资源，以解决 CTEHR成员的不同需求; 目标二。通过提供强有力的培训（有针对性的教育），进一步完成CTEHR的教育使命， 为研究生、博士后研究员和教师提供职业发展计划; 目标3.开发和实施尖端的数据集成（智能）和计算生物学 CTEHR成员的申请。 通过向QBFC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， ChIP-Seq，DNA甲基化，微阵列，qPCR低密度阵列，单细胞转录组学，核糖体 谱分析和原位杂交。自大型NextGen数据集产生以来， 了解细胞生理学和对环境压力的反应，QBFC将在以下方面发挥重要作用： CTEHR成员进行和分析假设生成以及假设检验的能力， EHS研究利用这些大型、复杂的数据集。