Contributions to the reuse and reproducibility of computational biology models

Abstract

Research that can not be reproduced is of no scientific value - this also holds true for computational models in systems biology. This poster elucidates the identification of challenges and suggested solutions for model retrieval and ranking, model version control and model storage. Furthermore, it describes how models should be managed, stored and retrieved within a knowledge graph in order to foster model reproducibility and reuse.

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Sciences ∗Corresponding author.

https://www.medizin.uni-greifswald.de/medizininformatik/ (R. Henkel); https://www.medizin.uni-greifswald.de/medizininformatik/ (D. Waltemath) possibilities, e.g., for model analysis [ 11 ] and data exploration [ 12 ].

With a scientifically broader view, reusing concepts and implementations developed in context of systems biology in medical sciences seems to be the next logical step. Such a transition will connect different domains such as systems biology, systems medicine and medical informatics and might serve as a way to bridge the gaps between those scientific disciplines [ 13 ].

References

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