Welcome to TREMPPI: the Toolkit for Reverse Engineering of Molecular Pathways via Parameter Identification
- TREMPPI is a tool for systems and synthetic biology.
- Its goal is to help with the reverse engineering and construction of gene regulatory networks and signalling pathways. - TREMPPI runs online.
- You can register and start using it imediatelly. - TREMPPI is open-source.
- You can download and run from you computer or contribute.
FEATURES
NETWORK MODELLING
VALIDATION OF DATA
STATISTICAL ANALYSIS
RICH TOOL SET
RELATED PUBLICATIONS
- [PRE-PRINT AVAILABLE] Streck, Adam, Kirsten Thobe, and Heike Siebert. "Data-driven Optimizations for Model Checking of Multi-valued Regulatory Networks." Biosystems (2016)
- [OPEN ACCESS, DISSERTATION] Streck, Adam. Toolkit for Reverse Engineering of Molecular Pathways via Parameter Identification. Diss. Freie Universität Berlin, 2015.
- Streck A, Thobe K, Siebert H: Comparative Statistical Analysis of Qualitative Parametrization Set. Hybrid Systems Biology, 4th International Workshop. Volume 9271 Lecture Notes in Bioinformatics, (2015)
- [PRE-PRINT AVAILABLE] Streck A, Lorenz T, Siebert H: Minimization and equivalence in multi-valued logical models of regulatory networks. Natural Computing (2015)
- [OPEN ACCESS] Yousef KP, Streck A, Schütte Ch, Siebert H, Hengge R, von Kleist M: Logical-continuous modelling of post-translationally regulated bistability of curli fiber expression in Escherichia coli. BMC Systems Biology (2015).
- A. Streck, K. Thobe, H. Siebert. Analysing Cell Line Specific EGFR Signalling via Optimized Automata Based Model Checking. In: Computational Methods in Systems Biology. Volume 9308 of Lecture Notes in Computer Science. Springer International Publishing (2015)
- A. Streck and H. Siebert. Extensions for LTL model checking of Thomas networks. In: Proceedings of The Strasbourg Spring School on Advances in Systems and Synthetic Biology. Volume 14 (2015)
- K. Thobe, A. Streck, H. Klarner, H. Siebert. Model Integration and Crosstalk Analysis of Logical Regulatory Networks. In: Computational Methods in Systems Biology. Volume 8859 of Lecture Notes in Computer Science. Springer International Publishing (2014)
- H. Klarner, A. Streck, D. Šafránek, J. Kolčák, H. Siebert: Parameter identification and model ranking of Thomas networks. In: Computational Methods for Systems Biology. Volume 7605 of Lecture Notes in Computer Science. Springer Berlin Heidelberg (2012)
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tremppi.server
gmail.com
+49 30 838 75864
Arnimallee 6, 14195, Berlin
tremppi.servergmail.com
+49 30 838 75864
Arnimallee 6, 14195, Berlin