Hundreds of genomic analysis tools available from within a notebook, no programming required
Executable notebooks based on and compatible with Jupyter Notebooks, accessible through a browser, no installation required
Browse a collection of genomic and machine learning notebooks and adapt them for your own use
Share a notebook with a collaborator or publish it in our library
Develop notebooks within separate customizable environments
Ensure reproducibility of your methods by adding a link to your notebook in a publication
Try our beta version of GenePattern Notebook on JupyterLab
Easy access to web-based genomic resources from within a notebook
pip install genepattern-notebook conda install -c genepattern genepattern-notebook
pip install genepattern-notebook
conda install -c genepattern genepattern-notebook
Reich et al. The GenePattern Notebook Environment. Cell Systems. 2017(5):149-51
GenePattern Notebook is developed in the lab of Jill Mesirov at University of California, San Diego