针对DNA甲基化、组蛋白修饰数据的快速增长和对这些修饰数据所包含的生物学意义进行分析和挖掘的迫切需要，本项目拟建立与肿瘤相关的DNA甲基化、组蛋白修饰数据子库,结合最新的高通量数据分析算法，分析与癌症相关的DNA甲基化和组蛋白修饰在基因组上的分布和强度，比较它们与正常组织表观遗传修饰的区别。建立相关基因表达水平与不同组蛋白修饰和DNA甲基化的数据子库，分析基因不同功能区域的各种组蛋白修饰和DNA甲基化与基因表达水平的关系，特别是不同组蛋白修饰的组合模式与基因表达水平和癌症发生的关系，发现表观遗传修饰与癌症发生的联系和生物学意义。利用DNA甲基化和组蛋白修饰特征结合DNA序列信息与局域结构信息，在离散增量理论和推广的位置关联矩阵算法的基础上，进一步发展预测基因表达水平的新理论方法，为基础实验研究和应用研究提供理论指导和参考,为更好地理解DNA甲基化和组蛋白修饰的生物学意义提供帮助。

According to the fast growth of the DNA methylation and histone modification data and the urgent need of analyzing and mining these data in order to understand their biological meaning included in these data, we planned to build some sub-data of the DNA methylation and histone modification which are associated with cancer. By combing the latest programs for aligning High-throughput sequencing reads to a reference genome, the distribution density difference of these epigenomic modification in genome between normal cell and cancer cell will be analyzed. In addition, the sub-data for DNA methylation and histone modification as well as the relevant gene expression level will be built. The relations of the gene expression level with DNA methylation and different histone modifications in different functional regions will be studied. In order to find the biological meaning and the relationships of epigenomics modification with cancer occurrence, the relations of their combination patterns with cancer and gene expression level will be studied. Based on the diversity measure theory and expanding position weight matrix, the novel theory and algorithm for predicting gene expression level will be proposed by using the characteristic parameters of DNA methylation and histone modification combined with DNA sequence and structure information. It will be useful for the relative experiment research and applied research. It will be also helpful for understanding biological meaning of the DNA methylations and histone modifications.