GEO DataSets

(Submitter supplied) MECP2 is critical for proper brain development and expressed at near-histone levels in neurons, but the mechanism of its genomic localization remains poorly understood. Using high-resolution MeCP2 binding data, we show that genetic features alone can predict binding with 88% accuracy. Integrating MeCP2 binding and DNA methylation in a probabilistic graphical model, we demonstrate that previously reported methylation preferences may be due to MeCP2’s affinity to GC-rich chromatin, a result replicated using published data. more...

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platforms:

GPL13112 GPL17021

13 Samples

Download data: BW, TSV