The Past and Future of Lipidomics Bioinformatics

Dominik Kopczynski, Daniel Krause, Fadi Al Machot, Dominik Schwudke, Nils Hoffmann, Robert Ahrends

Publications: Contribution to bookChapterPeer Reviewed

Abstract

This chapter presents the Lipidomics Informatics for Life-Science workflow, which consists of multiple modules for targeted and untargeted computational lipid analyses in mass spectrometry. The modules cover assay design, raw data analysis, standardization of results, visualization, data storage, enrichment, and data integration. We highlight and discuss the importance of standardized data formats, the use of common nomenclature, and the necessity for minimum reporting guidelines to enable high-throughput lipidomics applications with, but not limited to, our workflow. Finally, we identify and discuss shortcomings of current lipidomics databases as well as data integration tools and describe potential strategies to support more explorative and hypothesis-driven research to enable the development of next-generation lipidomics tools and workflows.

Original languageEnglish
Title of host publicationMass Spectrometry for Lipidomics
Subtitle of host publicationMethods and Applications
PublisherWiley
Pages271-290
Number of pages20
ISBN (Electronic)9783527836512
ISBN (Print)9783527352227
DOIs
Publication statusPublished - 1 Jan 2023

Austrian Fields of Science 2012

  • 301302 Lipidomics research
  • 106005 Bioinformatics

Keywords

  • Bioinformatics
  • Data formats
  • Data integration
  • Lipidomics
  • Standardization
  • Tools
  • Visualization
  • Workflows

Fingerprint

Dive into the research topics of 'The Past and Future of Lipidomics Bioinformatics'. Together they form a unique fingerprint.

Cite this