Data Management, Analysis, and Resources Dissemination Core

数据管理、分析和资源传播核心摘要 布罗德研究所的传染病基因组中心(GCID)将继续应用其丰富的经验 在大规模基因组分析中，也研究病原体的毒力、传播和药物敏感性 因为它们与宿主、媒介和其他微生物的关键相互作用。要做到这一点，需要合并数据 来自具有生物信息学能力和计算分析的不同技术的集合。远大的GCID 将利用其专业知识构建和维护高效的计算流程和计算 创建强大的数据管理、分析和资源传播核心的基础设施。《核心》 将通过高通量样本跟踪、元数据和数据管理来支持我们的研究项目， 大规模分析、新计算方法的开发以及高质量数据的快速发布 和相关资源。我们的数据核心将利用远大的广泛技术能力 研究所和我们的人员在基因组研究方面的丰富经验，以服务于我们雄心勃勃的目标 研究项目。核心还将维持一个与创新挂钩的持续方法开发计划 在技术核心和研究项目的目标中；其中包括应变分析方法 元基因组样本，改进的序列数据质量控制分析，更新组装方法以使用 长时间读取和混合数据、定制的10倍基因组数据应用程序、分析横向传输 序列，分析TN-Seq的方法，以及训练和评估变体调用的新方法。这些 这些方法贯穿于我们的研究项目，并将广泛适用于基因组感染 疾病研究。除了将数据发布到公共存储库之外，数据核心还将继续移动 将管道、流程和数据集传输到云，以加快传染病研究社区访问 我们的数据和工具，并使其他人能够复制我们的分析。

Data Management, Analysis, and Resources Dissemination Core summary The Broad Institute’s Genomic Center for Infectious Disease (GCID) will continue to apply its deep experience in large-scale genomic analysis to study the virulence, transmission, and drug sensitivity of pathogens as well as their critical interactions with hosts, vectors and other microbes. Achieving this will require combining data sets from diverse technologies with bioinformatics capabilities and computational analyses. The Broad GCID will draw on its expertise building and maintaining efficient computational processes and computational infrastructure to create a robust Data Management, Analysis, and Resources Dissemination Core. The Core will support our Research Projects with high-throughput sample tracking, metadata and data management, large-scale analysis, development of novel computational methods, and the rapid release of high quality data and associated resources. Our Data Core will harness the extensive technological capabilities of the Broad Institute and the vast experience of our personnel in genomic research to serve the ambitious goals of our Research Projects. The Core will also maintain a program of ongoing method development tied to innovations in the Technology Core and the goals of the Research Projects; these include methods for strain analysis in metagenomic samples, improved quality control analysis of sequence data, updating assembly methods to use long read- and hybrid-data, customized 10x Genomics data applications, analysis of horizontally transferred sequences, methods for Tn-Seq analysis, and training and evaluating new methods for variant calling. These methods are cross-cutting across our Research Projects and will be widely applicable to genomic infectious disease research. In addition to releasing data to public repositories, the Data Core will continue to move pipelines, processes, and data sets to the cloud, to accelerate the infectious research community’s access to our data and tools and enable others to reproduce our analyses.