Overview of Notebooks

You can use the sidebar on the left to find tutorials demoing the most common analyses, or click the links in the list below to run the guides directly only your browser in a Google Colab live coding environment.

• Retrieve JUMP profiles
• Add metadata to profiles
• Calculate phenotypic activity
• Display perturbation images
• Explore perturbation clusters
• Query genes for more info

You can also run these tutorials on Terra, a cloud platform for biomedical research.

If you are running the analyses on your computer, we have published a package containing all dependencies, you need only install in your environment using pip install jump_deps (Python 3.10 or 3.11).

For a related application beyond JUMP, see protein-localization benchmarking with MisLocus. This example uses VarChAMP data and runs in its own companion repository rather than Colab.