TANGO Tutorial Video#

This is a guide to the instructions video explaining the graphical user interface (GUI) of TANGO.#

In the video, subtomogram averaging outputs from the EMPIAR-10277 tilt series (HIV-1 CA-SP1 virus-like particles (VLPs)) are being processed.#

Note on GUI:#

To access the TANGO graphical user interface (GUI), you have two options (make sure you are in the environment where cryocat is installed):

  1. Navigate to the /cryocat/app/ folder and run:

    python app.py
    
  2. Alternatively, simply type the following in the command line:

    tango_app
    

    Note: If you installed cryocat in editable mode (recommended) before tango_app was added, you will need to reinstall it to have the tango_app command properly registered.

Important: Neither of these commands will open the GUI directly. Instead, they will start a local server and display an address in the terminal, such as:

Running on http://127.0.0.1:8050

Copy this address into your browser to access the GUI.

The instructions video can be accessed here. All TANGO tutorials refer to this video.#

Timestamps with a short summary of the respective video content are listed below.#

  • 00:00:00 – 00:04:14

    Intro, structure of the interface, loading data, particle data overview, table operations.

  • 00:04:14 – 00:07:40

    Nearest neighbor distance statistics, explanation of “query points.”

  • 00:07:40 – 00:10:12

    Twist descriptor base, spherical support, input parameters for initial computation.

  • 00:10:12 – 00:13:46

    Explanation of twist descriptor structure, angular score.

  • 00:13:46 – 00:16:54

    Visualization of particle data, visualization of supports, orientational normalization.

  • 00:16:54 – 00:19:47

    Plotting functions.

  • 00:19:47 – 00:24:19

    Computation of particle affiliations, filtering of basic twist descriptor.

  • 00:24:19 – 00:29:44

    Designing unique descriptors, support options, support parameters, feature catalog, overview of unique descriptor, filtering of descriptor.

  • 00:29:44 – 00:33:37

    Proximity clustering, saving outputs, outro.