LipiNet API

• lipinet package
  • Submodules
  • lipinet.databases module
    • clean()
    • download_and_load_data()
    • get_prior_knowledge()
  • lipinet.parse_swisslipids module
    • main()
    • parse_swisslipids_data()
  • lipinet.utils module
    • check_for_split_characters()
    • create_nodedf_from_edgedf()
    • split_and_expand_large()
  • Module contents

Note

LipiNet is intended to act as an intermediary between lipidomics prior knowledge databases and network analysis packages. We aim to implement functions that are useful for many analyses, but we can’t envisage every scenario either. Most of the heavy lifting in terms of network manipulation, visualisation and analysis in LipiNet is done by OnionNet and graph-tool on the backend. Once you have data from LipiNet, you may want to become familiar with these tools, or other network tools, so that you can further analyse it for your particular research question.