Cell Biology On this page, I share some of the education tools we developed over the years. Most recently, we have used mainly Google Colabs, because they do not require downloading any software locally to your computer, you just run them in a web browser.
I explain the scope and aim of the Colabs within each of them. Please remember that I am not a IT professional. I share these sheets because novice students found them useful, particularly those not formally trained in advanced math and computer sciences. I have taken every efford to make them accurate and error-free; if you should find errors anyhow, please drop me a message at k.jalink@nki.nl. On my Windows PC, they run much faster in chrome than in Edge.
Oh, and in case you would take offense in my little jokes, please stop using this content.
In this colab, I provide a brief introduction into the use of computer simulations, aimed at chemists and life sciences students. If clicking the link fails to work, copy it and paste in your browser.
https://colab.research.google.com/drive/1qJPPOur1DQbYxq_fNqGSM-jUoa5_YkYb?usp=sharing
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In this colab, I focus a bit on discrete or Monte Carlo simulations.
https://colab.research.google.com/drive/1-fC-8OOIQfbGvk5dBVHBEsRX32q12mVq?usp=sharing
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The next Colab aims to give you an intuitive understanding of how to visualize FLIM data by using phasor plots.
https://colab.research.google.com/drive/1KCcEMAUtE4bHYDOwmZ8KOydrw9mqDIAr?usp=sharing
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In this colab, I present a simulation in R to determine how quickly one looses genotypes or crispr guides when subculturing a pooled population of cells with a single crispr guide. You will see that that is MUCH earlier than you’d intuitively expect, and eventually unavoidable even if you culture millions of cells.
https://colab.research.google.com/drive/1gN8ilqJrck24mnNXleXATVVzNL5YJWnC?usp=sharing
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