Core C - Bioinformatics Core

核心 C - 生物信息学核心

• 批准号: 10493837
• 负责人: Wuming Gong
• 金额: $ 39.8万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10493837
• 关键词: ATAC-seq; Address; Algorithmic Software; Algorithms; Applications Grants; Bioinformatics; Biological; Biotechnology; Cardiac; Cardiac Myocytes; Cardiovascular system; ChIP-seq; Computational algorithm; Computer Models; Core Facility; Critical Pathways; Data; Data Analyses; Data Set; Ensure; Equipment; Family suidae; Future; Generations; Genes; Genetic Transcription; Genomics; Goals; Human Resources; Injury; Laboratories; Left; Metabolism; Modernization; Mus; Myocardial; Myocardial Infarction; Natural regeneration; Pathway interactions; Process; Proline; Proteomics; Publications; Regulation; Regulatory Pathway; Reproducibility; Research; Research Personnel; Resources; Role; Services; Signal Pathway; Techniques; Therapeutic; Time; Training; Ventricular; Visualization; bioinformatics tool; cardiac regeneration; design; experimental study; improved; laboratory experiment; member; metabolomics; next generation; next generation sequence data; next generation sequencing; novel; programs; repaired; single-cell RNA sequencing; skills; transcriptome sequencing; ATAC-seq; Address; Algorithmic Software; Algorithms; Applications Grants; Bioinformatics; Biological; Biotechnology; Cardiac; Cardiac Myocytes; Cardiovascular system; ChIP-seq; Computational algorithm; Computer Models; Core Facility; Critical Pathways; Data; Data Analyses; Data Set; Ensure; Equipment; Family suidae; Future; Generations; Genes; Genetic Transcription; Genomics; Goals; Human Resources; Injury; Laboratories; Left; Metabolism; Modernization; Mus; Myocardial; Myocardial Infarction; Natural regeneration; Pathway interactions; Process; Proline; Proteomics; Publications; Regulation; Regulatory Pathway; Reproducibility; Research; Research Personnel; Resources; Role; Services; Signal Pathway; Techniques; Therapeutic; Time; Training; Ventricular; Visualization; bioinformatics tool; cardiac regeneration; design; experimental study; improved; laboratory experiment; member; metabolomics; next generation; next generation sequence data; next generation sequencing; novel; programs; repaired; single-cell RNA sequencing; skills; transcriptome sequencing

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.

抽象的 （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还将将新生成的实验数据与公共可用数据集集成在一起，使用 研究合并数据的最新计算模型，并为 产生新基因的新假设和促进心肌细胞增殖和的途径 心脏再生。核心C将帮助每个项目设计其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数据，以作为平台 用于假设和未来实验。考虑到它们固有的困难，这些服务是最好的集中 依靠复杂的分析技能和专业知识，以及一致性和可重复性的要求。那里 是将在Core C：SA 1中进行的研究的两个具体目标（SAS）：组织和分析 来自各个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数据集集成在一起。 SA 2：开发新算法 促进发现新的基因和会影响心肌细胞增殖和的因素 回复。这些目标将使生物信息学分析易于复制，可访问和 每个项目都可以解释领导团队，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有良好的训练 提供的是，正如我们在过去十年中在UMN的生物信息学项目合作的，AS 程序化项目的成员。拟议中的所有必需的设备和资源均已 项目。