The data set that will be used in this Tutorial was generated in Angelidis et al. (2020). To speed things up, we will use a smaller subset of cells, so do not worry if the results are not exactly as in the publication.
First you will get a brief introduction on how you can run code in a Jupyter Notebook, and the most basic data structures in Python.
If you want to read more on some of the packages, feel free to check out these links:
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Python in general
https://docs.python.org/3.8/tutorial/index.html -
If your are new to basic plotting with matplotlib in Python
https://matplotlib.org/2.2.3/tutorials/introductory/sample_plots.html -
A short introduction to data frames in Python (pandas package)
https://pandas.pydata.org/pandas-docs/stable/10min.html -
If you are curious to learn Scanpy
https://scanpy.readthedocs.io/en/stable/index.html
Here you find the Assignment for the single-cell Tutorial. Click on the "launch binder" button to start your first analysis in a custom computing environment! We use binder here, so that you do not need to worry about installing python locally and all the packages that we would need during the analysis.
Finally, once you are done - or want to double check your results - you can have a look at the solution to the exercises.