Helena Rasche

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 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.

TIaaS provides scalable infrastructure for efficient bioinformatics training, enabling remote and in-person classes with minimal delays and administrative overhead.

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 introduces an interactive scRNA-Seq analysis environment based on Galaxy, integrating ~70 functions for scalable and accessible single-cell data analysis.

The paper develops a deep learning model to recommend Galaxy tools based on workflow analysis, achieving 97% accuracy in tool prediction.

Apollo is an open-source software tool that enables researchers to collaboratively annotate and refine genomic features through a graphical interface.

The paper describes a hybrid platform integrating predefined workflows with ad hoc analytics to simplify and reproduce the raw data-to-publication process in biomedical research.