Youtube channel for the Machine Learning in Computational Biology conference: https://mlcb.github.io/

The development of modern genome editing tools has enabled researchers to make such edits with high precision but has left unsolved the problem of designing these edits. As a solution, we propose Ledi...

This study presents a benchmarking study of methods for comparing chromatin contact maps in 3D genome research.

We developed PRINT, a computational method that identifies footprints of DNA–protein interactions from bulk and single-cell chromatin accessibility data across multiple scales of protein size.

The admixture model is widely applied to estimate and interpret population structure among individuals. Here we consider a "standard admixture" model that assumes the admixed populations are unrelated...

Motif grammar on nucleosome fibres acts as signpost elements, directing TF combinatorial binding to enhancers.

A study uses single-molecule footprinting to measure protein occupancy at regulatory elements on individual molecules in human cells and describes how different properties of transcription factor bind...

ChIP-DIP (ChIP done in parallel) is a highly multiplex assay for protein–DNA binding, scalable to hundreds of proteins including modified histones, chromatin regulators and transcription factors, offe...

Hi-C is a chromosome conformation capture assay used to study 3D genome organization. The recent development of single-cell Hi-C technologies has further enabled the examination of 3D chromatin organi...