 | 2009 |
| 10 |  | Stephan Weise,
Christian Colmsee,
Eva Grafahrend-Belau,
Björn H. Junker,
Christian Klukas,
Matthias Lange,
Uwe Scholz,
Falk Schreiber:
An Integration and Analysis Pipeline for Systems Biology in Crop Plant Metabolism.
DILS 2009: 196-203 |
| 9 |  | Eva Grafahrend-Belau,
Christian Klukas,
Björn H. Junker,
Falk Schreiber:
FBA-SimVis: interactive visualization of constraint-based metabolic models.
Bioinformatics 25(20): 2755-2757 (2009) |
| 2008 |
| 8 |  | Eva Grafahrend-Belau,
Falk Schreiber,
Monika Heiner,
Andrea Sackmann,
Björn H. Junker,
Stefanie Grunwald,
Astrid Speer,
Katja Winder,
Ina Koch:
Modularization of biochemical networks based on classification of Petri net t-invariants.
BMC Bioinformatics 9: (2008) |
| 7 |  | Eva Grafahrend-Belau,
Stephan Weise,
Dirk Koschützki,
Uwe Scholz,
Björn H. Junker,
Falk Schreiber:
MetaCrop: a detailed database of crop plant metabolism.
Nucleic Acids Research 36(Database-Issue): 954-958 (2008) |
| 2006 |
| 6 |  | Björn H. Junker,
Christian Klukas,
Falk Schreiber:
VANTED: A system for advanced data analysis and visualization in the context of biological networks.
BMC Bioinformatics 7: 109 (2006) |
| 5 |  | Björn H. Junker,
Dirk Koschützki,
Falk Schreiber:
Exploration of biological network centralities with CentiBiN.
BMC Bioinformatics 7: 219 (2006) |
| 4 |  | Stephan Weise,
Ivo Grosse,
Christian Klukas,
Dirk Koschützki,
Uwe Scholz,
Falk Schreiber,
Björn H. Junker:
Meta-All: a system for managing metabolic pathway information.
BMC Bioinformatics 7: 465 (2006) |
| 3 |  | Björn H. Junker,
Dirk Koschützki,
Falk Schreiber:
Kinetic Modelling with the Systems Biology Modelling Environment SyBME.
J. Integrative Bioinformatics 3(1): (2006) |
| 2005 |
| 2 |  | Ina Koch,
Björn H. Junker,
Monika Heiner:
Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber.
Bioinformatics 21(7): 1219-1226 (2005) |
| 2004 |
| 1 |  | Dirk Steinhauser,
Björn H. Junker,
Alexander Lüdemann,
Joachim Selbig,
Joachim Kopka:
Hypothesis-driven approach to predict transcriptional units from gene expression data.
Bioinformatics 20(12): 1928-1939 (2004) |