Data Management, Analysis and Resources Dissemination Core

总结。 数据管理、分析和资源传播核心将负责样本跟踪， 成功完成本NIAID所需的实验室数据管理、数据存储和分析 U19应用：传染病基因组中心，RFA-AI-18-004。在这个U19中进行的研究 将使用基于测序的方法的组合，包括培养的 分离，元基因组学和转录组，以检查病原微生物。我们的期望是 通过了解共生体、病原体、共病原体和宿主之间的相互作用，这一努力将 导致确定新的治疗方法和干预措施，以改善疾病结果。这项研究将 导致了大量复杂的数据集。我们的数据核心将提供最先进的基因组组装， 注解和分析工具，用于表征病毒、细菌、真菌和寄生虫及其媒介 和主持人。其他全面的分类、系统发育和功能描述元基因组学和 还将提供元翻译数据分析方法。我们将与 技术核心，以确保新技术的强劲发展，用于处理和分析新的 来自新测序技术的数据类型。我们还将确保所有数据和分析都将进行 可供科学界使用。我们将把所有数据存入公共存储库(和NIAID 生物信息学资源中心)以及与每项研究相关的适当临床元数据。

SUMMARY. The Data Management, Analysis and Resource Dissemination Core will be responsible for sample tracking, laboratory data management, data storage, and analysis required for the successful completion of this NIAID U19 application: Genomic Centers for Infectious Disease, RFA-AI-18-004. The research conducted in this U19 will use a combination of sequencing-based approaches including whole genome sequencing of cultured isolates, metagenomics, and transcriptomics to examine pathogenic microorganisms. Our expectation is that by understanding the interactions between commensals, pathogens, co-pathogens, and the host, this effort will lead to identification of novel therapeutics and interventions that improve disease outcomes. This research will result in a great volume of complex data sets. Our Data Core will provide state of the art genome assembly, annotation, and analysis tools to characterize viruses, bacteria, fungi, and parasites as well as their vectors and hosts. Additional comprehensive taxonomic, phylogenetic and functional profiling of metagenomics and metatranscriptomic data analyses methodologies will also be provided. We will work closely with the Technology Core to ensure the robust development of new techniques for the processing and analysis of new datatypes from novel sequencing technologies. We will also ensure that all data and analyses will be made available to the scientific community. We will deposit all of our data into public repositories (and NIAID Bioinformatics Resource Centers) along with the appropriate clinical metadata associated with each study.