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Python, modeling and Flux balance analysis tutorials for the undergraduate Systems Biology course in Amsterdam

Home Page: https://thierrymondeel.github.io/Systems_Biology_FBA_tutorial/

License: MIT License

Jupyter Notebook 84.58% Python 15.33% MATLAB 0.10%
flux-balance-analysis systems-biology constraint-based-modeling teaching-materials

systems_biology_fba_tutorial's Introduction

Binder

Welcome to the VU and UvA flux balance analysis tutorial

This Github repository contains all materials related to a collection of flux balance analysis practicals taught as part of the systems biology and medicine course at the VU (Free University Amsterdam) in 2016 - 2019 and at the ECI 2018.

In this tutorial we will use mybinder to run Jupyter notebooks in the cloud. The aims of the tutorial are:

  1. To introduce you to basic programming in Python
  2. Bring your conceptual understanding of flux balance analysis (FBA) into practice
  3. Apply FBA to investigate biomass and ATP production in the human metabolic map Recon3D
  4. Investigate inborn error of metabolism phenylketonuria (PKU) using FBA and the human metabolic map

Important notes & tips

  • It is critical that you use a browser other than internet explorer: i.e. Google Chrome, Safari or Firefox.

  • Your work is not saved on the server. So manually export and download the workbooks if you want to keep them as explained in the first notebook.

  • If you are inactive for a while (> 10 min) or randomly due to system errors, the system may quit your session. So when you take a break, make sure you save and export the notebook you are working on first!

  • You can always go back and start the tutorial again or upload your saved files, on any computer at any time in the future.

  • If the group size is large, it is recommended that you work in pairs to reduce server stress.

  • If you run into problems, ask one of the teaching assistants.

Start the tutorial

To start the tutorial, click on the "launch binder" button at the top of this page. You will be redirected to a webpage that will generate a personal jupyter container for you.

After a minute or two the notebook server will be launched. You will see a folder with files. Open the "VU_course_tutorial_hub" file.

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