Data to generate figures and analyses can be accessed at the following DOI: https://doi.org/10.5281/zenodo.17654220
This project uses a reproducible Conda environment defined in environment.yml.
Follow the steps below to install the environment and run the notebooks.
Make sure you have Anaconda or Miniconda installed.
Clone this repository:
git clone https://github.com/pachterlab/SBRGKLAYWMP_2025.git
cd SBRGKLAYWMP_2025Create the environment from the YAML file:
conda env create -f environment.ymlconda activate swarna2025_envpip install git+https://github.com/pachterlab/wompywompyThe ipykernel package is already included in the environment.
Register this environment as a Jupyter kernel:
python -m ipykernel install --user --name swarna2025_env --display-name "Python (swarna2025_env)"You will now see a new kernel inside Jupyter Notebook / JupyterLab.
Launch Jupyter:
jupyter notebookor
jupyter labKernel → Change Kernel → Python (swarna2025_env)