Advanced computational analysis and visualization
Need to process large data files or train a machine learning model? Deep Origin was built to help interdisciplinary teams work together to gather and analyze data, from simple charts to computationally-intensive workflows.
To run computationally-intensive analyses, we recommend that users use our workflows and workstations:
- Batch processing: Run a workflow to batch process one or more data files using a Nextflow or Snakemake pipeline or a Jupyter notebook.
- Interactive analysis and visualization: Use a virtual workstation and our client CLI or Python library to interactively analyze and visualize the data in your data hub. Workstations are powerful machines with pre-installed software packages for processing and visualizing scientific data.