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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, wrote the paper, prepared figures and/or tables, performed the computation work.

Dagmar Waltemath analyzed the data, wrote the paper, reviewed drafts of the paper.

Olaf Wolkenhauer reviewed drafts of the paper.

Kurt Sandkuhl reviewed drafts of the paper.

Christian Rosenke prepared figures and/or tables, reviewed drafts of the paper.

Ron Henkel conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, performed the computation work.

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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