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LipidSigR: a R-based solution for integrated lipidomics data analysis and visualization.

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LipidSigR, an R package, enhances lipidomics data analysis by offering a flexible, open-source tool for customized workflows. This addresses limitations of the LipidSig web platform for researchers.

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Area of Science:

  • Lipidomics
  • Bioinformatics
  • Computational Biology

Background:

  • Lipidomics is a growing field requiring advanced tools for complex data analysis.
  • Existing platforms like LipidSig offer valuable lipidomics data analysis but have workflow customization limitations.

Purpose of the Study:

  • To develop a flexible, open-source R package, LipidSigR, as a companion to the LipidSig web platform.
  • To enable researchers to build customized lipidomics data analysis workflows.

Main Methods:

  • Developed LipidSigR as an R package based on the existing LipidSig web platform's code.
  • Ensured compatibility and reproducibility through rigorous testing following CRAN guidelines.
  • Demonstrated functionality using a common case-control experimental design in lipidomics.

Main Results:

  • LipidSigR provides enhanced flexibility for adapting lipidomics workflows.
  • The package allows researchers with basic R skills to customize data analysis pipelines.
  • A case study illustrates the practical application and capabilities of LipidSigR for lipidomics research.

Conclusions:

  • LipidSigR is a valuable, freely available resource for the lipidomics community.
  • The R package empowers researchers to create tailored data analysis workflows, advancing the field.
  • LipidSigR promotes reproducible and adaptable lipidomics data analysis.