Florian Heyl

The paper introduces SACCELERATOR, a framework for spatially aware clustering that improves benchmarking by incorporating expert feedback and consensus analysis across diverse datasets.

The paper introduces Galaxy Training Network (GTN) as a framework for creating and sharing FAIR training materials for data analysis, with recent improvements to support educators and expand its use in various learning environments.

StoatyDive evaluates and classifies peak profiles from sequencing data to improve downstream analysis and quality control.

GraphProt2 predicts RNA-binding protein binding sites using graph neural networks, outperforming existing methods on CLIP-seq datasets.

HRIBO is a workflow for analyzing bacterial Ribo-seq data to discover novel ORFs, using annotation-independent methods and integrating additional features for prioritization.