Haley W. Greenyer

The paper profiles genome organization changes during breast cancer progression using Micro-C mapping and links these changes to gene expression and enhancer activity.

The paper identifies MANCR isoforms' roles in epigenomic and P53-responsive transcriptional control in TNBC through computational and experimental methods.

This study shows that acute RUNX1 loss reprograms enhancer activity, leading to epithelial destabilization and cancer hallmark activation in human mammary epithelial cells.

This study benchmarks network inference algorithms for deriving metabolic relationships from lipidomic and metabolomic data, revealing challenges in interpretation despite some ability to distinguish metabolic states.

The paper introduces Seq, a Python-based framework that improves performance in genomics by combining Python's usability with C/C++ efficiency, achieving speedups over existing implementations.