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Identifying frequent patterns in biochemical reaction networks - a workflow

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We published a new version of our 'workflow to detect frequent pattern in #sbml models' @PeerJPreprints https://t.co/BO7XtGgRim #graphmining
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Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Fabienne Lambusch conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, performed the computation work, approved the final draft.

Dagmar Waltemath analyzed the data, authored or reviewed drafts of the paper, approved the final draft.

Olaf Wolkenhauer authored or reviewed drafts of the paper, approved the final draft.

Kurt Sandkuhl authored or reviewed drafts of the paper, approved the final draft.

Christian Rosenke conceived and designed the experiments, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Ron Henkel conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, performed the computation work, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

SEMS Project Website:

https://sems.uni-rostock.de/

and GitHub:

https://github.com/FabienneL/BioNet-Mining

Funding

Ron Henkel received funding from the German Federal Ministry of Education and Research (BMBF) via grant number FKZ 031 A540A (de.NBI). Fabienne Lambusch and Dagmar Waltemath received funding from the German Federal Ministry of Education and Research (BMBF) as part of the e:Bio program, grant number FKZ 031 6194 (SEMS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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