The data presented here were published in
Comprehensive genome and epigenome characterisation of CHO cells in response to evolutionary pressure and over time
by Julia Feichtinger, Inmaculada Hernández, Christoph Fischer, Michael Hanscho, Norbert Auer, Matthias Hackl, Vaibhav Jadhav, Martina Baumann, Peter M. Krempl, Christian Schmidl, Matthias Farlik, Michael Schuster, Angelika Merkel, Andreas Sommer, Simon Heath, Daniel Rico, Christoph Bock, Gerhard G. Thallinger and Nicole Borth
ChIP-Seq peak calling was performed with MACSv2.0.10. Both the standard method for H3K4me3 and H3K27ac and the –broad flag method for H3K4me1, H3K27me3, H3K36me3, H3K4me9 with default parameters were used. All samples were normalized by sequencing depth in million reads. Browser shows treat_pileup.bigWig files and the corresponding peaks.broadPeak or peaks.narrowPeak files.
Chromatin states were learned by applying the ChromHMM hidden Markov Model v1.10. An 11 state model was trained with the full data set. Each time point was segmented using the 11 state model. Browser shows dense view of segmentation for each time point.
|State||Color||H3K27ac||H3K4me3||H3K4me1||H3K36me3||H3K9me3||H3K27me3||State (Emission order)|
|1. Repressed heterochromatin (H3K9me3)|
|3. Polycomb repressed regions (H3K27me3)|
|4. Strong transcription (H3K36me3)|
|5. Genic enhancer|
|6. Enhancer (H3K27ac low)|
|7. Enhancer (H3K27ac high)|
|8. Regulatory element|
|9. Active promoter (H3K27ac high)|
|10. Active promoter (H3K27ac low)|
|11. Flanking TSS|