.. Copyright (C) 2025 Andrea Raffo SPDX-License-Identifier: MIT Visualize architectural stripes =============================== Visually inspecting a subset of the detected stripes is highly recommended to verify that the parameters configured for `stripepy_call_help` are well-suited to your specific dataset. To assist with this inspection, the Jupyter notebook `visualize_stripes_with_highlass.ipynb `_ is provided. This notebook is designed to work with input files in the ``.mcool`` format. If your matrix is in ``.hic`` format you can easily convert it to ``.mcool`` format using hictk by running ``hictk convert matrix.hic matrix.mcool``. HiGlass cannot visualize single-resolution Cooler files. If you are working with ``.cool`` files you can use hictk to generate ``.mcool`` files by running ``hictk zoomify matrix.cool matrix.mcool``. For more details, please refer to hictk's documentation: `hictk.readthedocs.io `_. We recommend running the notebook using `JupyterLab `_. Furthermore, the notebook depends on a few Python packages that can be installed with ``pip``. Please make sure that the following packages are installed in a virtual environment that is accessible from Jupyter. Refer to `IPython `_'s documentation for instructions on how to add a virtual environment to Jupyter. .. code-block:: bash pip install 'clodius>=0.20,<1' 'hictkpy>=1,<2' 'higlass-python>=1.2,<2' Next, launch JupyterLab and open notebook `visualize_stripes_with_highlass.ipynb `_. .. code-block:: bash jupyter lab Before running the notebook, scroll down to the following cell .. code-block:: bash mcool = ensure_file_exists("CHANGEME.mcool") bedpe = ensure_file_exists("CHANGEME.bedpe") and set the ``mcool`` and ``bedpe`` variables to the path to the ``.mcool`` file used to call stripes and the path to the stripe coordinates extracted with `stripepy_view_help`, respectively. .. code-block:: bash mcool = ensure_file_exists("4DNFI9GMP2J8.mcool") bedpe = ensure_file_exists("stripes.bedpe") Now you are ready to run all cells. Running the last cell will display a HiGlass window embedded in the Jupyter notebook (note that the interface may take a while to load). .. only:: not latex .. image:: assets/4DNFI9GMP2J8_chr2_156mbp_higlass_view.png .. only:: latex .. image:: assets/4DNFI9GMP2J8_chr2_156mbp_higlass_view.pdf