Stanislav Sys

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

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.

ClearFinder provides a Python GUI for cell annotation in cleared mouse brains, improving accessibility and enabling statistical analysis and visualization.

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