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Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors
Jason Piper1,2, Salam A Assi2, Pierre Cauchy2
1Warwick Systems Biology Centre, University of Warwick, Coventry, CV4 7AL, UK.
Background:
The analysis of differential gene expression is a fundamental tool to relate gene regulation with specific biological processes. Differential binding of transcription factors (TFs) can drive differential gene expression. While DNase-seq data can provide global snapshots of TF binding, tools for detecting differential binding from pairs of DNase-seq data sets are lacking.
Results:
In order to link expression changes with changes in TF binding we introduce the concept of differential footprinting alongside a computational tool. We demonstrate that differential footprinting is associated with differential gene expression and can be used to define cell types by their specific TF occupancy patterns.
Conclusions:
Our new tool, Wellington-bootstrap, will enable the detection of differential TF binding facilitating the study of gene regulatory systems.
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