Data Science Tools to Increase Insight in Genomics Data

提高基因组数据洞察力的数据科学工具

• 批准号: 10623491
• 负责人: Kasper Daniel Hansen
• 金额: $ 46.23万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10623491
• 关键词: Basic Science; Binding; Biological Assay; Cell Cycle; Cell physiology; DNA Methylation; Data Science; Development; Measurement; Measures; Methods; Molecular; Molecular Biology; Research Personnel; Resolution; Statistical Methods; Technology; complex data; epigenomics; experimental study; flexibility; genomic data; high throughput technology; histone modification; insight; nanopore; new technology; single-cell RNA sequencing; tool; transcription factor

Project summary High-throughput molecular technologies are increasingly being used in biomedical and basic science. New tech- nologies and assays are being developed at a rapid pace, and have the potential to interrogate cellular processes at an unprecedented resolution and throughput. As a result of the developments in measurement technologies, more investigators in molecular biology are in need of statistical methods to analyze complex data. We have a track record of developing such methods and the R35 mechanism will provide us with the flexibility to pivot our effort as new molecular approaches are being developed. We will focus on methods for (1) measuring the shared molecular component between experiments, (2) differ- entiation and cell cycle measurements using single-cell RNA-seq, (3) detecting selection acting on molecular features such as DNA methylation, histone modifications and transcription factor binding, and (4) epigenomics assays including nanopore sequencing.

项目概要 高通量分子技术越来越多地应用于生物医学和基础科学。新技术—— 技术和检测方法正在快速发展，并且有潜力探究细胞过程 以前所未有的分辨率和吞吐量。由于测量技术的发展， 更多的分子生物学研究人员需要统计方法来分析复杂的数据。我们有一个 开发此类方法的记录和 R35 机制将为我们提供灵活性 随着新的分子方法的开发，我们正在努力。 我们将重点关注以下方法：（1）测量实验之间共享的分子成分，（2）差异 使用单细胞 RNA-seq 进行作用和细胞周期测量，(3) 检测作用于分子的选择 DNA 甲基化、组蛋白修饰和转录因子结合等特征，以及 (4) 表观基因组学 检测包括纳米孔测序。