Peter Van Heusden

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.

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.

COSMO predicts operons in Mycobacterium tuberculosis using RNA-seq data, outperforming existing predictors in accuracy and condition-specific operon detection.

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