Moshe Olshansky

The paper uses ultra-deep Hi-C and a new computational method to fine-map nuclear compartments, revealing that active promoters and enhancers localize in the A compartment even when adjacent sequences are inactive.

ENCODE's containerised Workflow Description Language pipelines for ChIP-seq, ATAC-seq, DNase-seq, RNA-seq variants, Hi-C and bisulfite sequencing run on cloud or local clusters, with documented compute costs and provenance.

This study shows that inhibiting BMI-1 reduces antibody-secreting cells in autoimmune models, suggesting BMI-1 as a therapeutic target for antibody-mediated autoimmune diseases.

The paper shows that using structure-based predictors of intolerance improves the identification of pathogenic variants in whole exome sequences of patients with developmental and epileptic encephalopathies.

The paper identifies cis- and trans-regulatory elements of Oct4 in mESCs using ctSCAN-SMS, showing CREs are more active and conserved than TREs.

The paper presents a web resource, COVID-3D, that visualizes SARS-CoV-2 genetic variation in 3D structures to aid in understanding its impact on infection, immunity, and drug development.