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A major goal in epigenetics is understanding how cells differentiate into different cell types. Besides the increaseof individual data sets, the amount of replicated experiments generating a tremendous amount of data is everincreasing. While biologists primarily analyze their data on the highest level using statistical correlations or on thelowest level analyzing nucleotide sequences, determining the fate of histone modifications during cell specificationnecessitates improved analysis capabilities on one or more intermediate levels. For this type of analysis, it proved tobe very useful to use tiled binned scatter plot matrices showing binary relationships or to use tiled binned 3D scatterplots showing ternary relationships. Quarternary or general n-ary relationships are not easily analyzable usingvisualization techniques like scatter plots, only. Therefore, we augmented existing clustering methods with thetiling and binning idea enabling the analysis of n-ary relationships. Analyzing the changes of histone modificationscomparing two cell lines using tiled binned clustering, we found new, unknown relations in the data.

Analyzing Histone Modifications Using Tiled Binned Clustering and 3D Scatter Plots