Genomics, Biostatistics and Bioinformatics Core

核心B项目摘要/摘要 根据项目小组的总体目标，基因组学、生物统计和生物信息学核心(核心B)将 在候选基因、途径和基因的可靠识别和优先排序方面发挥核心作用 签名，以阐明HCMV编码的基因如何调节HPC中的细胞信号转导 病毒潜伏期的建立和维持以及造血。核心B将支持所有五个 项目，并将提供生物统计和生物信息学援助，以及关键的专门知识和 样品和文库准备的标准化和初步确认，以帮助确定目标的优先顺序。堆芯 B负责不同读数(例如，转录本， 磷蛋白质组学、分泌组学等)由每个项目以及PPG内的跨项目生成。 这些数据将被合并到概率路径模型中，以提供严格和可重复性的 假设检验的框架。后续验证和扰动实验将有助于评估 以及以迭代的方式改进建模。为了确保所有PPG研究项目的数据将 以标准化的方式生成，GBBC将在促进PPG研究、管理 整合不同的实验读数，评估重复性和指导鉴定 最有希望获得认可的候选人。GBBC将规定样品的一致性和质量 通过对不同产生的病毒突变体进行CD34 HPC感染实验进行测序 项目，以及随后的RNA-seq的RNA分离，以允许对数据集进行交叉比较。这个核心将 协助确定进一步扰动和验证研究的候选对象的优先顺序。最后，英国皇家银行将 在整个数据生命周期中为PPG组件提供生物信息学和生物统计支持，包括 协助实验设计、数据前处理、QA/QC、分析、建模和可视化 作为PPG使用的所有数据类型的数据集成、存储、管理、标准和传播。

CORE B PROJECT SUMMARY/ABSTRACT Consistent with the Overall aims of the PPG, the Genomics, Biostatistics and Bioinformatics core (Core B) will play a central role focused on robust identification and prioritization of candidate genes, pathways and gene signatures in order to elucidate how HCMV encoded genes regulate cellular signaling in HPCs to contribute to the establishment and maintenance of viral latency as well as hematopoiesis. Core B will support all five projects and will provide biostatistics and bioinformatics assistance, as well as critical expertise and standardization in sample and library preparation and initial confirmation to aid in prioritization of targets. Core B is responsible for the pre-processing, integration and modeling of the diverse readouts (e.g., transcriptomics, phosphoproteomics, secretomics etc.) generated by each project as well as across projects within the PPG. These data will be incorporated into probabilistic pathway models to provide a rigorous and reproducible framework for hypothesis testing. Follow-up validation and perturbation experiments will aid in the evaluation and refinement of the modeling in an iterative manner. To ensure the data from all PPG research projects will be generated in a standardized manner, the GBBC will play a critical role in facilitating PPG studies, managing and integrating the diverse experimental read-outs, assessing reproducibility and guiding identification of the most promising candidates for validation. The GBBC will regulate consistency and quality of the samples to be sequenced by performing both CD34+ HPC infection experiments with virus mutants generated by the different projects, and subsequent RNA isolations for RNA-seq to allow for cross-comparisons of datasets. This core will assist in prioritization of candidates for further perturbation and validation studies. Finally, the GBBC will provide bioinformatics and biostatistics support for PPG components throughout the “data life cycle” including assistance with experimental design, data pre-processing, QA/QC, analysis, modeling and visualization as well as data integration, storage, management, standards and dissemination for all data types utilized in the PPG.