Skip to content

Latest commit

 

History

History
51 lines (36 loc) · 3.58 KB

File metadata and controls

51 lines (36 loc) · 3.58 KB

Computational Systems Biology for Digital Medicine Informatics Guide 2025

Software used during the course

Software Version (if not latest) Module Notes
MetaLo Latest Model building and analysis sessions Logic based modelling workflows
MaBoSS Latest MaBoSS + PhysiBoSS Introduction AM Stochastic Boolean modelling
CellDesigner Latest Systems Biology Graphical Notation SBML and network diagramming
CoLoMoTo Notebook Latest Introduction to BN analysis and CoLoMoTo Notebook Docker based notebook environment
Google Chrome Latest All modules Browser needed for online tools
Cytoscape + GeneMANIA Latest Pathways & Networks, Pathway and Network Analysis Network visualisation and gene interaction analysis
JupyterLab Latest CoLoMoTo Notebook Practicals Web based coding environment
Reactome Website REACTOME demo + hands on Pathway exploration
CellCollective Website CaSQ + CellCollective, Cell Collective Intro Interactive logical model building
BioModelAnalyzer Website Introduction to BMA , BMA Practical Quantitative Boolean model analysis
GinSim Latest Introduction to Boolean Modelling Logical modelling of regulatory networks
PhysiBoSS Latest MaBoSS + PhysiBoSS Introduction Multiscale modelling
BioModels Website BioModels + Reactome session Public model repository

Informatics Set-Up

For installation and setup, please refer to the following guides:

  • Oracle VM VirtualBox Installation Guide – Detailed instructions for installing and configuring VirtualBox on different operating systems. (Note: Separate installations are needed for Intel-based and ARM-based Macs, and the VDI files will differ.)

The Host Operating System Requirements are:

  • RAM requirement: 8GB (preferably 12GB)
  • Processor requirement: 4 processors (preferably 8)
  • Hard disk space: 200GB
  • Admin rights to the computer

Citing and Re-using Course Material

The course data are free to reuse and adapt with appropriate attribution. All course data in these repositories are licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Creative Commons Licence

Each course landing page is assigned a DOI via Zenodo, providing a stable and citable reference. These DOIs can be found on the respective course landing pages and can be included in CVs or research publications, offering a professional record of the course contributions.

Interested in attending a course?

Take a look at what courses are coming up at Wellcome Connecting Science Courses & Conference Website.


Wellcome Connecting Science GitHub Home Page

For more information or queries, feel free to contact us via the Wellcome Connecting Science website.
Find us on socials Wellcome Connecting Science Linktr