Marc A. Hafner

Epiregulon infers single-cell TF activity using ATAC-seq and RNA-seq to predict drug response and identify drivers of cell state.

TraCSED identifies resistance pathways in breast cancer by analyzing scRNA-seq data and clonal selection dynamics over time.

The paper introduces a method called Dye Drop for high-throughput single-cell assays in 384-well plates, enabling detailed dose-response analysis of small molecules in breast cancer cell lines.

PharmacoDB 2.0 enhances pharmacogenomics analysis by integrating new datasets, implementing FAIR pipelines, and improving drug response analysis tools.

The paper introduces a cloud-based platform called ORCESTRA for reproducible processing and sharing of multimodal biomedical data in a FAIR manner.

This study investigates factors affecting the reproducibility of in vitro drug-response assays across multiple centers, identifying context-sensitive factors that impact results.

The paper develops tools to compare and design optimized small molecule libraries using chemical and biological data, resulting in a more effective kinase inhibitor library.