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项目提供分析服务，自成立以来一直成功地开展这项工作。 2015年在LJI的重债穷国计划。此外，DMAC将确保持续及时提交数据， 根据该合同获得的数据分析，将输入到ImmPort数据库和NIAID确定的其他存储库。 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， 互联的数据库和分析脚本。这是围绕捐赠者记录管理系统 （DoRAS）用于追踪供体和样本连同临床信息沿着。在这里，我们将扩展DoRAS以确保 可以捕获与本提案相关的所有临床信息。该数据库将可以访问 通过互联网，并提供一个一致的基础，选择样本和解释结果。中的所有信息 DoRAS是去识别的，因此研究项目将无法访问敏感信息，允许数据 自由分享。 在数据分析服务方面，数据分析和分析中心将以 持续6年，并提供一套自动化分析管道，获取每个项目中生成的数据， 提供标准化的分析，以促进项目间的比较和再现性。散装管道 RNA-seq已经完全实施，包括生成结果的用户友好的网络报告。 单细胞RNA-seq分析的初始管道已经建立，并将继续优化。为 如通过流式细胞术或质谱细胞术产生的高维细胞术分析，我们将使用组合 传统的手动门控方法和直接自动门控方法，特别是直接 细胞群自动过滤和识别（DAFI）1，在之前的资助中开发 期此外，我们将优化和自动化TCR-seq分析管道，该管道将在各种不同的细胞中识别TCR。 实验设置。还将提供功率计算。 为方便与入境口岸有效共用资料，并遵从 在新设立的重债穷国协调中心，我们将利用所产生的数据， 本提案中的自动化管道已经采用了标准化格式，并与示例 和DoRAS中捕获的人类受试者信息。数据标准的更新在这些 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工作人员，以确保未涵盖的研究特定数据元素 将适当提交自动化管道。我们在这方面有着丰富的经验和成功 我们在上一个资助期内收到的申请纪录，足以证明我们的做法是正确的。

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.