-
Notifications
You must be signed in to change notification settings - Fork 1
Home
This public repository is a collaborative effort of participants of the module "Bioinformatik und Systembiologie" in the Master Program BIDS, organized by the Graduate School Rhein-Neckar in cooperation with MIRACUM, a consortium of the Medizininformatik-Initiative.
Our goal is to provide the Bachmann Model as a fully-featured COMBINE archive, a standardized container for data files related to biological simulation studies described by Scharm & Waltemath in A fully featured COMBINE archive of a simulation study on syncytial mitotic cycles in Drosophila embryos, F1000Research 2016, 5:2421.
We use this Wiki for the datamanagement and documention of the Bachmann Model as a Fully Featured COMBINE Archive.
We need a teamwork to build the Bachmann Model as a Fully Featured COMBINE Archive. The teams of two or three members have different functions.
- Group 1: Review of existing materials; composition of the COMBINE archive; documentation template; review of intermediate results.
- Group 2: Comparison of provided SBML models, selection and provision of detailed metadata.
- Group 3: Provision of the SBGN model (graphical representation).
- Group 4: Provision of at least one SED-ML script (more than one if necessary).
The teamwork of the class members runs under the guidance, monitoring and continuous review of Prof. Dr. Dagmar Waltemath
!No comprende nada? Plese check out our glossary
Bioinformatics & Systems biology SS 2021
- Synopsis Group 1
- Sources of Bachmann model
- Software tools for simulation
- How to build a Fully Featured COMBINE Archive?
- Communication channels
- Provision of a template for documentation
- Schedule (draft)
- Review of results
- COMBINE Archive (Testversion!)
- Synopsis Group 2
- Finding of SBML models
- Comparison of SBML models
- The chosen one
- Simulation tools
- Metadata
- Improving metadata annotations
- Synopsis Group 3
- SBGN Maps for Bachmann model
- Choice of SBGN language
- Tool to draw the SBGN Map
- SBGN-Map Drawing, Validation & Beautification
- Integration into COMBINE Archive
- Synopsis Group 4
- Selection of experiments
- Selection of SED-ML tool(s)
- Generation of SED-ML file(s)
- Integration into COMBINE Archive
- Test of SED-ML files and COMBINE Archive