We have developed a deep learning method for large-scale virtual screening in a fraction of the time required by conventional docking. Deep Docking can be used in conjunction with any docking program and enables the screening of billions of compounds in a fast and efficient way.

We have detailed a method for profiling DNA methylation and chromatin accessibility state from a single fragment library. This joint-profiling method, termed ATAC-Me, can now be applied in diverse cellular models to shed light on the complicated relationship between these two epigenetic features.

In our Nature Protocol, we present step by step instructions on how to make phosphatase inhibitor beads, enrich lysates for phosphoprotein phosphatases, multiplex, phosphopeptide enrich, and analyze samples by mass spectrometry to systematically study the major drivers of protein dephosphorylation.

Single cell Hi-C (scHi-C) maps chromatin spatial organization at single cell resolution, but the sparsity of the resulting data presents significant challenges in data analysis. We report a novel method, SnapHiC, which detects chromatin loops from scHi-C data at high sensitivity and specificity.