Statistical analysis

lipidr

Analyze lipid abundance tables and test patterns across lipid classes and structural properties.

Platform-independentR packageOpen source

Overview

lipidr supports inspection, normalization, differential analysis and lipid-set enrichment, including class, chain-length and unsaturation patterns.

What can this tool do?

Univariate statisticsMultivariate statisticsPathway enrichment

Common uses

  • Analyze targeted or untargeted lipidomics tables.
  • Investigate coordinated changes among related lipid species.

Scientific fit

Primary function

Statistical analysis

Data compatibility

Inputs

Feature or peak table, Sample metadata

Outputs

Statistical results, Human-readable report

Input formats

Other, Numeric matrix or Skyline export

Output formats

Other, R lipid-analysis objects, statistics and plots

Scope and considerations

Designed for

  • Analyze targeted or untargeted lipidomics tables.

Not designed for

  • Inferring positional lipid structures that were not resolved by the measurement.

Important requirements

  • A lipid abundance matrix or compatible Skyline export, with sample metadata and parseable lipid names.

Considerations

  • Lipid naming and structural resolution determine the sets available for enrichment; review ambiguous or unparsed entries.

Access and documentation

Bioconductor package; consult its license and the separate terms of imported public datasets.

Evidence and review

Documentation-based editorial review on 7 September 2026. Scope and limitations summarize the linked official sources; software execution and developer verification were not assessed.

Core publications

Resource papers, direct updates and tool-specific methods. Selection policy.

  1. Mohamed A, Molendijk J, Hill MM. lipidr: A Software Tool for Data Mining and Analysis of Lipidomics Datasets. J Proteome Res 19, 2890-2897 (2020). doi:10.1021/acs.jproteome.0c00082

Software and documentation citations

Related tools

Entry history

Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.

  1. 2026-09-08 · Entry update

    Audit core publications across existing tools

    View change · Entry at this revision
  2. 2026-09-07 · First committed entry

    Add 50 documented metabolomics resources

    View change · Entry at this revision

Full GitHub history