Tianxiang Liu

Nuc3DMap integrates MNase-seq, Hi-C, and Micro-C data to delineate finer nucleosome-based 3D chromatin architecture and identifies distinct subtypes of chromatin features.

The paper uses Hi-C profiling in breast tissues to reveal 3D chromatin-regulated tumor heterogeneity and identifies CA2 as a driver of tamoxifen resistance through enhancer-promoter looping.

The paper develops a deep learning pipeline to identify antimicrobial peptides from the gut microbiome of Blattella germanica, finding two AMPs with low toxicity and antimicrobial activity.