Enabling Student Projects in Computational Biology with the Morpheus Simulation Framework
Computational biology is an interdisciplinary field with contributors from a range ofbackgrounds. Reproducibility therefore hinges not only on technical factors but also on the usabilityof the tools involved. In this paper, we present a usability test of the MorpheusML ecosystem inwhich three teams of high school students, none with prior experience in computational modeling,were tasked with developing a model of a biological process in MorpheusML and submitting it tothe public MorpheusML model repository within a single workday. Success was judged against therepository’s own acceptance criteria: a submission must faithfully reproduce the target result and passa review process that checks both the model and its documentation. All three teams produced andsubmitted a working model within the day, two of them fully reproducing their target result. In thefirst case study, the students additionally uncovered a parameter swap in an influential, widely citedpaper, underlining the value of reproduction as a quality-control mechanism. We conclude that theMorpheusML ecosystem is usable in practice, and we discuss its potential as a low-barrier entry pointinto authentic scientific practice.
Authors
- Jörn Starruß (ORCID: https://orcid.org/0000-0003-3649-2433)
- Diego Jahn (ORCID: https://orcid.org/0000-0001-6774-5507)
- Justin Bürger Michaelis
Institutions
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-14
- DOI
- https://doi.org/10.5281/zenodo.21932797
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00