Yaniv Lubling

The paper shows that inducing epithelial traits in breast cancer cells increases autophagy and DNA damage, potentially contributing to tumor dormancy and reactivation.

MetaCell partitions scRNA-seq data into homogeneous metacells to address sparsity, enabling clustering and gene expression analysis without enforcing global structure.

SHAMAN provides a method for analyzing Hi-C data without predefined resolution, minimizing biases by randomizing contact matrices and assessing enrichment.

This study uses single-cell Hi-C to analyze chromosomal organization dynamics across the cell cycle, revealing distinct cell cycle-dependent changes in chromosomal compartments, TADs, and loops.