Matthias Bernt

The paper introduces the Microbiology Galaxy Lab, a community-driven platform for reproducible and FAIR microbial data analysis, offering tools for various omics data types and use cases.

PHI is a Galaxy-based workflow that automates prophage-host interaction analysis and generates standardized reports, detecting 41 prophages across 14 hosts in a mock community.

Planemo is a command-line toolkit for developing, deploying, and executing Galaxy tools and workflows, promoting best practices in scientific data analysis.

The paper introduces deepFPlearn, a deep learning tool that predicts chemical-effect associations at the gene/pathway level using unlabeled chemical data and achieves high prediction quality.

The paper describes integrating refgenie into Galaxy to manage and share reference datasets, with tools for retrieval and a global repository for easy access.

The paper provides a Galaxy-based pipeline for DIA proteomics analysis, enabling reproducible and accessible processing through a web interface.