Core C - Bioinformatics Core

摘要 (核心C) 生物信息学核心 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 例如散装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。CORE C还将把新生成的实验数据与公共可用的数据集集成在一起，使用 最先进的计算模型，用于调查合并的数据并为 促进心肌细胞增殖的新基因和新途径假说的产生 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， 并讨论了分析，解释了实验结果，并提供了新的数据作为平台 用于假设和未来的实验。考虑到这些服务固有的困难，它们的 依赖复杂的分析技能和专业知识，以及一致性和重复性的要求。那里 将在核心C：SA 1中进行的研究的两个具体目标(SA)：组织和分析 来自各自项目进行的转录和蛋白质组学研究的计算数据集 并将它们与现有的公开可用的数据集进行集成。SA 2：开发新的算法， 促进发现新的基因和因素，将影响心肌细胞增殖和 肌肉化。这些目标将使生物信息学分析易于复制、访问和 向每个项目领导团队解释，并为大规模NGS产生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接受了良好的培训 提供，因为我们在过去十年期间在UMN和AS在生物信息学项目上进行了合作 方案项目的成员。所有必要的设备和资源都已到位，以满足拟议的 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.