Develop new bioinformatics infrastructures and computational tools for epitranscriptomics data

项目摘要 动态mRNA修饰，如mRNA水平上的m6 A依赖性调节，增加了一个 关键的新维度，基因表达的转录后调控。快速发展 测序技术的发展改变了表观转录组学研究领域， 在不同的状态和条件下成功地进行了转录组范围的RNA修饰。他们 有希望揭示RNA修饰的调控机制，这几乎有助于 mRNA代谢和功能的每个阶段，从而影响不同的生物过程。怎么-- 以往，表转录组学的分析发展远远落后于技术发现的步伐， 并且可用于表转录组学研究的生物信息学基础设施仍然有限。总- 本提案的目标是解决三个最紧迫的挑战，面临profiling和解释 表观转录组学具体而言，我们将实现以下目标：目标1。制定统计方法 用于单核苷酸分辨率的RNA修饰检测。目标2.开发计算方法- ODS用于细胞类型特异性甲基化分析。目标3。开发支持集成的Web服务器 具有丰富基因组学特征的RNA修饰。所有方法都将在 用户友好的软件，并分发给科学界。成功实现所有 目标将大大提高epitranscriptomes分析的力量，从而更好地理解- RNA修饰中的调控机制及其在表型和人类中的意义 疾病

Project Summary Dynamic mRNA modifications, such as the m6A-dependent regulation at the mRNA level, add a critical new dimension to post-transcriptional regulation of gene expression. The rapid development of sequencing technologies has transformed the field of epitranscriptomics studies by resulting in the successful profiling transcriptome-wide RNA modifications under different states and conditions. They hold the promise to reveal regulatory machinery of RNA modifications, which contributes to almost every phase of mRNA metabolism and function, thereby impacting diverse biological processes. How- ever, analytical developments in epitranscriptomics lag far behind the pace of technological discovery, and the bioinformatic infrastructure available for epitranscriptomic studies remains limited. The overar- ching goal of this proposal is to address three most pressing challenges facing profiling and interpreting epitranscriptomics. Specifically, we will achieve the following aims: Aim1. Develop statistical methods for RNA modification detection at single nucleotide resolution. Aim 2. Develop computational meth- ods for cell type-specific methylation analysis. Aim 3. Develop web servers that enable integrating RNA modification with a rich catalog of genomics features. All the methods will be implemented in user-friendly software and disseminated to the scientific community. Successful achievement of all aims will dramatically increase the power of epitranscriptomes analysis, leading to better understand- ing of regulatory mechanisms in RNA modifications and their implications in phenotypes and human diseases.