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LIPID MAPS Lipidomics Tools Guide

Summary

The LIPID MAPS Lipidomics Tools Guide is an interactive flow chart for finding open software with graphical interfaces across a complete lipidomics analysis. It exposes task-specific capabilities, technical requirements, formats, platform support, licenses, documentation, and developer contacts so users can construct interoperable workflows without testing every package ad hoc [1,2].

Covered Tasks

  1. Lipid-oriented databases.
  2. Mass-spectrometry data repositories.
  3. Targeted lipidomics analysis.
  4. Lipid identification from untargeted data.
  5. Lipid quantification from untargeted data.
  6. Statistical analysis and visualization.
  7. Identifier, ontology, pathway, network, and multi-omic integration [1].

For each task, the guide distinguishes software scope and lists details such as desktop or web deployment, operating-system compatibility, license, input/output formats, command-line or API access, downloads, documentation, and training data. A package can appear in multiple stages when it combines functions [1].

Use in Workflow Design

The guide is most useful after the analyst defines the acquisition mode, experimental question, required structural resolution, and downstream data model. Those constraints determine whether a database, identifier parser, targeted quantifier, untargeted annotator, ontology tool, or pathway platform is appropriate [1].

The associated review includes targeted and untargeted tutorials demonstrating tool interoperability. The guide is maintained as part of LIPID MAPS and is intended to be updated as software changes or developers request inclusion [1,2].

See Lipidomics Informatics Workflows for the evidence and data-model constraints that should be defined before selecting software.

Limitations

Inclusion is not a universal benchmark result. The guide helps compare declared capabilities and requirements, but users still need to validate performance for their instrument, lipid classes, sample type, and identification standard [1].

Citations

[1] Fedorova et al. 2023. Guiding the choice of informatics software and tools for lipidomics research applications. Supports: Guide purpose, seven categories, metadata fields, interoperability tutorials, update model, and limitations of ad hoc tool selection. Location: Introduction; Categories of Lipidomics Tools; Conclusion.

[2] Conroy et al. 2024. LIPID MAPS: update to databases and tools for the lipidomics community. Supports: Integration and ongoing maintenance of the guide within LIPID MAPS. Location: Tools.