Galaxy Debunks Ten Common Platform Misconceptions

On February 17, 2026, authors published a PLoS Computational Biology article that identifies and refutes ten common misconceptions about the Galaxy platform. The paper uses technical evidence, global use cases, and governance details to show Galaxy is mature, scalable, data-type agnostic, and suitable for research, education, and clinical workflows. The authors aim to improve uptake and correct misunderstandings among researchers and decision-makers.