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Fig. 1 | Genome Biology

Fig. 1

From: Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome

Fig. 1

EpiCSeg segmentation in a genome browser. The first seven tracks represent the input data, that is, read counts for each genomic bin and for a panel of histone marks. The eighth track represents the main output of the algorithm, that is, a partition of the genome into segments of different types, where each type is a chromatin state and it is represented by a specific color in this picture. The last three tracks show data used for validation. It can be seen that chromatin states can be easily related to biological processes, for instance the red state represents active promoter and the green states are related to transcription

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