Maximilian Schönung

This study introduces scIRES-seq to analyze CTCs from cervical cancer, revealing multimodal molecular heterogeneity through integrated genetic, epigenomic, and transcriptomic profiling.

The paper develops a hierarchical classification framework combining epigenetic and genetic data with machine learning to improve diagnosis and risk stratification in hematologic malignancies.

This study identifies oncofetal reprogramming in juvenile myelomonocytic leukemia, linking RAS-pathway activation to fetal gene expression and revealing CD52 as a therapeutic target.

The paper benchmarks DNA methylation sequencing workflows against an experimental gold-standard, identifying superior workflows and developing a sustainable benchmarking platform.

Pyjacker detects enhancer hijacking in AML, identifying MNX1 activation via 7q deletion as a novel oncogenic mechanism.

The paper develops a computational framework for analyzing DNA methylation data in mouse hematopoiesis, identifying novel cis-regulatory elements associated with gene expression during differentiation.

AmpliconDesign provides a web server for designing high-throughput targeted DNA methylation assays, improving primer design and analysis workflows for epigenetic studies.