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Interpreting the lipidome: bioinformatic approaches to embrace the complexity.

Jennifer E KyleLucila AimoAlan J BridgeGeremy C ClairMaria S FedorovaJ Bernd HelmsMartijn R MolenaarZhixu NiMatej OresicDenise N SlenterEgon L WilighagenBobbie-Jo M Webb-Robertson
Published in: Metabolomics : Official journal of the Metabolomic Society (2021)
Here we describe six approaches that capture three core focus areas for lipidomics: (1) lipidome annotation including a resolvable database identifier, (2) interpretation via pathway- and enrichment-based methods, and (3) understanding complex interactions to emphasize specific steps in the analytical process and highlight challenges in analyses associated with the complexity of lipidome data.
Keyphrases
  • electronic health record
  • big data
  • emergency department
  • rna seq
  • machine learning
  • mass spectrometry
  • deep learning