ChIP-Seq实验已被广泛用于在全基因组尺度上刻画组蛋白修饰和转录因子等染色质结合蛋白的染色质结合。在不同细胞类型之间比较这些调控因子的全基因组结合差异已成为研究细胞类型特异性基因表达调控机制的重要手段。但是，能实现ChIP-Seq数据精确定量比较的计算工具不仅数目较少，而且应用范围也远无法满足多样化的实际需求，从而局限了相关的生物学研究向单因子跨细胞类型精确比较和多因子多细胞类型同时比较等方面的发展。本项目拟在申请人已开发的ChIP-Seq数据双样本定量比较模型等计算工具和分析方法的基础上，瞄准ChIP-Seq数据多样本定量比较方面的生物信息工具缺口，开发针对性的生物信息学分析工具群，并搭建网络服务平台以利于这些工具的广泛应用。

Now ChIP-Seq experiment is widely used to characterize the genome-wide binding pattern of chromatin-associated proteins such as histone modifications and transcription factors, and comparing the ChIP-Seq samples of these factors across different cell types has become a key step towards understanding the mechanism of cell type-specific transcriptional regulation. However, computational tools for quantitative comparison of ChIP-Seq data sets are still underdeveloped in terms of both variety and scope of application, which has strongly restricted the progress of associated studies that need to perform precise comparison based on replicates or comparison across multiple factors/cell types. In this proposal, we plan to develop a comprehensive set of bioinformatic tools for quantitative comparison of multiple ChIP-Seq samples, which are urgently needed by the field, based on the tools previously developed by us including the MAnorm model designed for pair-wise comparison. Besides, these tools will be further integrated into a webserver to facilitate their uses.