Core C - Bioinformatics Core

摘要 (Core C）、 生物信息核心实验室 核心C：生物信息学核心，将提供下一代序列（NGS）数据的生物信息学分析 例如批量RNA-seq、单细胞RNA-seq、ChIP-seq、ATAC-seq以及蛋白质组学和代谢组学 分析。核心C还将整合新生成的实验数据与公共可用的数据集，使用 最先进的计算模型来研究组合数据，并为 产生促进心肌细胞增殖的新基因和途径的新假设， 心脏再生核心C将帮助每个项目设计他们的NGS /蛋白质组学/代谢组学实验， 并讨论分析，解释实验结果，并提供新的数据，这将作为一个平台 用于假设和未来的实验。考虑到这些服务固有的困难， 对复杂分析技能和专业知识的依赖，以及对一致性和再现性的要求。那里 核心C中的研究有两个具体目标（SA）：SA 1：组织和分析 由各自项目进行的转录和蛋白质组学研究的计算数据集 并将其与现有的公开数据集相结合。SA 2：开发新的算法， 促进发现影响心肌细胞增殖的新基因和因子， 肌肉再生这些目标将使生物信息学分析易于复制，可访问， 每个项目领导团队都可以理解，并为大规模NGS提供高质量和深入的分析， 蛋白质组学和代谢组学数据。核心C人员在服务的各个方面都受过良好的培训， 提供，因为我们在过去十年中在UMN的生物信息学项目上合作， 方案项目的成员。所有所需设备和资源都已到位， 项目

ABSTRACT (Core C) Bioinformatics Core Core C: The Bioinformatics Core, will provide bioinformatics analyses of Next-generation sequence (NGS) data such as bulk RNA-seq, single cell RNA-seq, ChIP-seq, ATAC-seq, as well as proteomics and metabolomics analyses. Core C will also integrate the newly generated experimental data with public available datasets, use the state-of-the-art computational models to investigate the combined data and provide a platform for the generation of new hypotheses of novel genes and pathways for promoting cardiomyocyte proliferation and cardiac regeneration. Core C will help each project to design their NGS / proteomics / metabolomics experiments, and discuss the analysis, interpret the experimental results and provide new data which will serve as a platform for hypotheses and future experiments. These services are best centralized given their inherent difficulty, their reliance on sophisticated analysis skills and expertise, and requirement of consistency and reproducibility. There are two specific aims (SAs) for studies that will be pursued in Core C: SA 1: To organize and analyze computational datasets from transcriptional and proteomic studies performed by the respective projects and integrate them with existing publicly available datasets. SA 2: To develop new algorithms that will facilitate the discovery of novel genes and factors that will impact cardiomyocyte proliferation and remuscularization. These aims will make the bioinformatics analysis easy to reproduce, accessible and interpretable to each project led team and produce high-quality and in-depth analysis for large-scale NGS, proteomics and metabolomics data. Core C personnel are well-trained in all aspects of the services to be provided, as we have collaborated on bioinformatics projects over the past ten year period at UMN and as members of programmatic projects. All of the required equipment and resources are in place for the proposed projects.