Bioinformatics core

生物信息学核心（核心B）的目的是提供以下方面的统计和生物信息学分析： 各种高通量基因组学数据，主要来自测序应用，如ChIP-seq，RNA-seq， Hi-C、ChlA-PET、4C-seq和复制定时实验。三个项目中的每一个都利用了下一个 代测序技术（NGS），以解决与细胞周期控制，染色体 多能干细胞中的结构和细胞命运决定。我们的核心将提供全面的数据 为该项目的研究人员提供分析服务。该核心的主要研究者和支持人员 在高通量基因组学数据分析方面拥有丰富的经验，尤其是NGS数据。除了 基本数据分析，我们将与三个项目的调查人员密切合作，以确定新出现的 现有方法和软件没有充分解决的问题。这将涉及 开发改进的概率模型、计算机算法和分析战略， 分析.

The purpose of the Bioinformatics Core (Core B) is to provide statistical and bioinformatics analysis of various high-throughput genomics data, primarily from sequencing applications such as ChlP-seq, RNA-seq, Hi-C, ChlA-PET, 4C-seq and replication timing experiments. Each of the three Projects utilize next generation sequencing technologies (NGS) to address questions relating to cell cycle control, chromosome architecture and cell fate decisions in pluripotent stem cells. Our core will provide comprehensive data analysis service to investigators of this Program Project. The PI and supporting staff of this Core have extensive experience in the analysis of high-throughput genomics data, especially NGS data. In addition to basic data analyses, we will work closely with investigators from the three Projects to identify emerging problems that are not addressed sufficiently by existing methods and software. This will involve the development of improved probability models, computer algorithms and analytical strategies to improve data analysis.