Data Management and Analysis Core

项目摘要 数据管理和分析核心(DMAC)将继续提供集中的数据管理 为LJI重债穷国中心项目和核心提供分析服务，这是它自成立以来一直成功做到的 2015年在LJI的重债穷国方案。此外，数据管理委员会将确保持续及时提交数据和 将根据本合同获得的数据分析转给ImmPort数据库和NIAID确定的其他储存库。 对于集中的数据管理，我们将利用我们的内部数据管理系统 互连的数据库和分析脚本。这是以捐赠者记录管理系统为中心的 (DORA)用于跟踪捐赠者和样本以及临床信息。在这里，我们将延长DORA以确保 可以获取与本提案相关的所有临床信息。数据库将是可访问的 通过互联网，为选择样本和解释结果提供一致的依据。中的所有信息 DORA被取消身份识别，因此研究项目将无法访问敏感信息，从而允许数据 被自由分享。 在数据分析服务方面，数据管理委员会将建立在 并提供一套自动化分析管道，获取每个项目中生成的数据，并 提供有助于项目间比较和重复性的标准化分析。散装管道 Rna-seq已得到充分执行，包括生成的结果的用户友好的网络报告。 用于单细胞RNA-SEQ分析的初始管道已经建立，并将继续优化。为 对于高维分析产生的流式细胞术或质量细胞术，我们将使用一种组合 传统的手动门控方法和直接自动门控方法，尤其是直接 细胞群体的自动过滤和鉴定(DAFI)1，这是在上一次资助中开发的 句号。此外，我们将优化和自动化TCR-SEQ分析管道，该管道将在各种类型的TCR中识别TCR 实验环境。还将提供功率计算。 促进与ImmPort有效地共享数据，并遵循由 新引入的HIPC协调中心(HCC)，我们将利用以下事实生成数据 通过本提案中的自动化管道已经是一种标准化的格式，并与样本捆绑在一起 以及在DORA中捕获的人类主体信息。对数据标准的更新很容易在这些 管道，并将为ImmPort、GEO或SRA生成所需的导出格式。此外，DMAC将提供 具有数据提交经验的专职员工，以确保研究中未涵盖的特定数据元素 将适当提交自动化管道。我们在这方面有丰富的经验和成功的经验 正如我们在上一个供资期间提交材料的记录所证明的那样，这是一种有效的方法。

Project Summary The Data Management and Analysis Core (DMAC) will continue to provide centralized data management and analysis services for the LJI HIPC center projects and cores, as it has successfully done since the inception of the HIPC Program at LJI in 2015. Further, the DMAC will ensure the ongoing timely submission of data and data analyses obtained under this award to the ImmPort database and other repositories identified by NIAID. For centralized data management, we will utilize our in-house, data management system of interconnected databases and analysis scripts. This is centered around the Donor Record Administration System (DoRAS) for tracking donors and samples along with clinical information. Here we will extend DoRAS to ensure that all clinical information relevant to the present proposal can be captured. The database will be accessible through the internet and provide a consistent basis to select samples and interpret results. All information in DoRAS is de-identified, so that research projects will not have access to sensitive information, allowing data to be freely shared. In terms of data analysis services, the DMAC will build on the procedures established successfully in the last 6 years and provide a set of automated analysis pipelines that take data generated in each Project and provide standardized analyses that will facilitate inter-project comparisons and reproducibility. Pipelines for bulk RNA-seq have already been fully implemented including user friendly web reports for the generated results. Initial pipelines for single-cell- RNA-seq analysis have been established, and will continue to be optimized. For high-dimensional cytometry analysis as generated by flow or mass-cytometry, we will be using a combination of traditional manual gating approaches and directed automated gating methods, in particularly Directed Automated Filtering and Identification of cell populations (DAFI)1, which was developed in the previous funding period. Also, we will optimize and automate a TCR-seq analysis pipeline that will identify TCRs in various experimental settings. Power calculations will also be provided. To facilitate efficient data sharing with ImmPort, and to follow guidelines for data standards set by the newly introduced HIPC Coordinating Center (HCC), we will take advantage of the fact that the data generated through automated pipelines in this proposal is already in a standardized format, and ties back to the sample and human subject information captured in DoRAS. Updates to data standards are easily implemented in these pipelines, and will generate the desired export format for ImmPort, GEO or SRA. Additionally, DMAC will provide dedicated staff with experience in data submissions to ensure that study specific data elements not covered by the automated pipelines will be appropriately submitted. We have extensive experience and success with this approach, as evidenced by our track record of submissions in the last funding period.