Research on Non-linear Relationship among Histone Modifications in Yeast Genome

Abstract. In the process of we studied chromosome modifications, we found the previous studies only focused on linear relationship between chemical modifications. So we interfered the data sets of the Yeast histone Methylation modification and Acetylation which are measured by Pothook et al. We got 16 kinds of protein modification date sets in the whole genome. Then we processed the each of data sets by aligning, averaging and normalizing data around the TSS (about 1000bp from upstream or downstream).After we grouped the whole genome histone modification data sets according to the Yeast genome transcription level data: one modified groups promote transcription, and the other modified groups inhibit transcription or are independent of transcription. In order to reveal the complex relationships between different transcriptional activity of genetically modified, we calculated the correlation among several modifications with two by algorithms–Pearson correlation analysis and MINE proposed by David N. Reshelf et al. We analyzed the results and got some non-linear relationship between histone modifications. We also found that the association between histone modifications stronger in the same modified group