Genome-wide digital genomic footprinting (DGF) analysis from early developmental stages for mouse and human
What is shown by the tracks?
We performed a footprinting analysis on ATAC-seq data with the TOBIAS DGF framework (Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal ).
Mouse and human data was mapped to mm10 and hg38 reference genomes, respectively.
Analysis steps performed with TOBIAS:
Correction of Tn5 insertion bias
Calculation of footprint scores within regulatory regions
Estimation of bound/unbound transcription factor binding sites
Visualization of footprints within and across different conditions
The data contains TOBIAS analysis of time series ATAC-seq data from early development in human and mouse, which are given in separate conditions.
We provide six conditions for human (2C, 4C, 8C, ICM, naive hESC and hESC) and mouse (early 2C, 2C, 4C, 8C, ICM and mESC).
As shown in the picture below, we provide the regions of open chromatin as defined by peak-calling (upper), and two tracks per condition illustrating the bias corrected cutting signal of the transposase (middle), and finally the resulting footprint score (lower).
The bigwigs for the fooprints can be downloaded from our s3-storage.