Quantitative occupancy of myriad transcription factors from one DNase experiment enables efficient comparisons across conditions
Kaixuan Luo, Jianling Zhong, Alexias Safi, Linda K. Hong, Alok K. Tewari, Lingyun Song, Timothy E. Reddy, Li Ma, Gregory E. Crawford, Alexander J. Hartemink
The paper introduces TOP, a Bayesian framework that quantifies TF occupancy across many conditions using a single DNase-seq experiment, showing changes in 1500 TF motifs across cell types, hormone exposure, and genetic backgrounds.
Genome Research · Jun 1, 2022Peer-reviewedBioinformatics