Pluto Bioinformatics

GSE61874: Unbiased identification and comparison of chromatin patterns from deep-sequencing data

Bulk RNA sequencing

Robust comparison of deep-sequencing data sets is often hampered by differences in their pattern structure or signal-to-noise ratio. Here, we established multi-scale correlation evaluation (MCORE), a method to dissect and compare the genome-wide topology of chromatin features. We applied MCORE to Hi-C, ChIA-PET, ChIP-seq, RNA-seq and Bisulfite-seq data from mouse embryonic stem cells and neural cells to track the extension, transformation and spatial repositioning of chromatin domains during differentiation. SOURCE: Jan-Philipp Mallm DKFZ