Susann Schweiger

Correcting Preprocessing Bias in Sparse Chromatin Contact Data Enables Physically Interpretable Reconstruction of Genome Architecture

The paper identifies preprocessing bias in chromatin contact data and introduces a framework to correct it, enabling physically interpretable genome architecture reconstruction.

Direct RNA sequencing (RNA004) allows for improved transcriptome assessment and near real-time tracking of methylation for medical applications

This study evaluates improvements in direct RNA sequencing (DRS) using RNA004 chemistry and modified-base-calling models, showing enhanced throughput, accuracy, and detection of RNA modifications in clinical applications.

Aberrant formation of long-range projections across different neurodevelopmental disorders converges on molecular and cellular nexuses

The paper investigates how mutations in SOX11, MID1, and TCF4 affect neurite formation in neurodevelopmental disorders, revealing shared molecular and cellular mechanisms.

Direct CCUT: A Versatile and Standardized Framework to Train 3C Deep Restoration Models

Direct CCUT trains deep models to reconstruct high-resolution chromatin interaction matrices from low-resolution Pore-C and 3C data using consumer GPUs.