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Ron Henkel
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2020 – today
- 2024
- [c15]Ilya Mazein, Tom Gebhardt, Lea Michaelis, Dagmar Waltemath, Ron Henkel:
MeDaX: A Knowledge Graph on FHIR. MIE 2024: 367-371 - 2023
- [c14]Judith A. H. Wodke, Lea Michaelis, Ron Henkel:
The MeDaX Knowledge Graph Prototype. MIE 2023: 147-148 - [c13]Lea Gütebier, Ron Henkel, Christian Niklas, Dagmar Waltemath:
Exploring Use Cases for CovidGraph. MIE 2023: 747-748 - [c12]Felix Menzel, Dagmar Waltemath, Ron Henkel:
Exploring New Possibilities for Research Data Exploration Using the Example of the German Core Data Set. MIE 2023: 749-750 - [c11]Ron Henkel, Dagmar Waltemath:
Contributions to the reuse and reproducibility of computational biology models. SWAT4HCLS 2023: 122-123 - [c10]Judith A. H. Wodke, Ron Henkel, Dagmar Waltemath:
MeDaX project plan: How to sustainably improve biomedical (research) data management. SWAT4HCLS 2023: 133-134 - [c9]Kerstin Gierend, Judith A. H. Wodke, Sascha Genehr, Robert Gött, Ron Henkel, Frank Krüger, Markus Mandalka, Lea Michaelis, Alexander Scheuerlein, Max Schröder, Atinkut Zeleke, Dagmar Waltemath:
TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities. WWW (Companion Volume) 2023: 1551-1554 - 2022
- [b1]Ron Henkel:
Contributions to the reuse and reproducibility of computational biology models. Rostock University, Germany, 2022 - [j10]Lea Gütebier, Tim Bleimehl, Ron Henkel, Jamie Munro, Sebastian Müller, Axel Morgner, Jakob Laenge, Anke Pachauer, Alexander Erdl, Jens Weimar, Kirsten Walther Langendorf, Vincent Vialard, Thorsten Liebig, Martin Preusse, Dagmar Waltemath, Alexander Jarasch:
CovidGraph: a graph to fight COVID-19. Bioinform. 38(20): 4843-4845 (2022) - [c8]Ron Henkel, Lea Gütebier, Dagmar Waltemath:
CovidGraph: Integrating COVID-19 Data. MIE 2022: 711-712 - 2021
- [c7]Martin Preusse, Alexander Jarasch, Tim Bleimehl, Sebastian Muller, Jamie Munro, Lea Gütebier, Ron Henkel, Dagmar Waltemath:
COVIDGraph: Connecting Biomedical COVID-19 Resources and Computational Biology Models. SEA-Data@VLDB 2021: 34-37
2010 – 2019
- 2018
- [j9]Ron Henkel, Robert Hoehndorf, Tim Kacprowski, Christian Knüpfer, Wolfram Liebermeister, Dagmar Waltemath:
Notions of similarity for systems biology models. Briefings Bioinform. 19(1): 77-88 (2018) - [j8]Fabienne Lambusch, Dagmar Waltemath, Olaf Wolkenhauer, Kurt Sandkuhl, Christian Rosenke, Ron Henkel:
Identifying frequent patterns in biochemical reaction networks: a workflow. Database J. Biol. Databases Curation 2018: bay051 (2018) - [i4]Fabienne Lambusch, Dagmar Waltemath, Olaf Wolkenhauer, Kurt Sandkuhl, Christian Rosenke, Ron Henkel:
Identifying frequent patterns in biochemical reaction networks - a workflow. PeerJ Prepr. 6: e1479 (2018) - 2017
- [j7]Ron Henkel, Robert Hoehndorf, Tim Kacprowski, Christian Knüpfer, Wolfram Liebermeister, Dagmar Waltemath:
Notions of similarity for systems biology models. Briefings Bioinform. 18(5): 902 (2017) - [i3]Fabienne Lambusch, Dagmar Waltemath, Olaf Wolkenhauer, Kurt Sandkuhl, Christian Rosenke, Ron Henkel:
Identifying frequent patterns in biochemical reaction networks - a workflow. PeerJ Prepr. 5: e1479 (2017) - 2016
- [j6]Vasundra Touré, Alexander Mazein, Dagmar Waltemath, Irina Balaur, Mansoor A. S. Saqi, Ron Henkel, Johann Pellet, Charles Auffray:
STON: exploring biological pathways using the SBGN standard and graph databases. BMC Bioinform. 17: 494:1-494:9 (2016) - [i2]Ron Henkel, Fabienne Lambusch, Olaf Wolkenhauer, Kurt Sandkuhl, Christian Rosenke, Dagmar Waltemath:
Finding patterns in biochemical reaction networks. PeerJ Prepr. 4: e1479 (2016) - 2015
- [j5]Ron Henkel, Olaf Wolkenhauer, Dagmar Waltemath:
Combining computational models, semantic annotations and simulation experiments in a graph database. Database J. Biol. Databases Curation 2015 (2015) - [j4]Rebekka Alm, Dagmar Waltemath, Markus Wolfien, Olaf Wolkenhauer, Ron Henkel:
Annotation-based feature extraction from sets of SBML models. J. Biomed. Semant. 6: 20 (2015) - [c6]Philipp Koldrack, Ron Henkel, Frank Krüger, Stefan J. Teipel, Thomas Kirste:
Supporting situation awareness of dementia patients in outdoor environments. PervasiveHealth 2015: 245-248 - [i1]Ron Henkel, Fabienne Lambusch, Dagmar Waltemath:
Finding pattern in biochemical reaction networks - a sub-graph mining approach. PeerJ Prepr. 3: e1479 (2015) - 2014
- [c5]Rebekka Alm, Dagmar Waltemath, Olaf Wolkenhauer, Ron Henkel:
Annotation-Based Feature Extraction from Sets of SBML Models. DILS 2014: 81-95 - [c4]Ron Henkel, Dagmar Waltemath:
MaSyMoS: Finding Hidden Treasures in Model Repositories. SWAT4LS 2014 - [p1]Matthias Lange, Ron Henkel, Wolfgang Müller, Dagmar Waltemath, Stephan Weise:
Information Retrieval in Life Sciences: A Programmatic Survey. Approaches in Integrative Bioinformatics 2014: 73-109 - 2013
- [j3]Dagmar Waltemath, Ron Henkel, Robert Hälke, Martin Scharm, Olaf Wolkenhauer:
Improving the reuse of computational models through version control. Bioinform. 29(6): 742-748 (2013) - 2012
- [c3]Ron Henkel, Nicolas Le Novère, Olaf Wolkenhauer, Dagmar Waltemath:
Considerations of graph-based concepts to manage of computational biology models and associated simulations. GI-Jahrestagung 2012: 1545-1551 - 2011
- [j2]Dagmar Waltemath, Ron Henkel, Holger Meyer, Andreas Heuer:
Das Sombi-Framework zum Ermitteln geeigneter Suchfunktionen für biologische Modelldatenbasen. Datenbank-Spektrum 11(1): 27-36 (2011) - 2010
- [j1]Ron Henkel, Lukas Endler, André Peters, Nicolas Le Novère, Dagmar Waltemath:
Ranked retrieval of Computational Biology models. BMC Bioinform. 11: 423 (2010) - [c2]Ron Henkel:
Distributed Information Retrieval of Computational Biological Models. AlgoSyn 2010: 123
2000 – 2009
- 2009
- [c1]Dagmar Köhn, Carsten Maus, Ron Henkel, Martin Kolbe:
Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking. DILS 2009: 204-219
Coauthor Index
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