LIPIDIFy
This is the development version of LIPIDIFy; to use it, please install the devel version of Bioconductor.
Comprehensive Lipidomics Data Analysis with Interactive Visualization
Bioconductor version: 3.24 · Package version: 0.99.7
Provides a comprehensive toolkit for end-to-end lipidomics data analysis, including missing value imputation, batch effect correction, normalization, differential abundance analysis using limma and edgeR, gene set enrichment analysis, and extensive visualization capabilities. Lipid names are automatically classified by class, subclass, and fatty-acid saturation. Features both an interactive Shiny interface for bench biologists and fully scriptable R functions for bioinformaticians. Supports flexible custom lipid classification schemes and user-defined enrichment sets.
Author: Fayrouz Hammal [aut, cre] 
, Karen Sheppard [fnd] (NHMRC of Australia grant #2020050)
Maintainer: Fayrouz Hammal <fayrouz.hammal at petermac.org>
Citation
From within R, enter citation("LIPIDIFy"):
Fayrouz Hammal. LIPIDIFy: Comprehensive Lipidomics Data Analysis with Interactive Visualization. doi:10.18129/B9.bioc.LIPIDIFy, R package version 0.99.7, https://bioconductor.org/packages/LIPIDIFy.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("LIPIDIFy")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 0.99.7 |
| License | MIT + file LICENSE |
| URL | https://github.com/fayrouzhammal/LIPIDIFy |
| Bug Reports | https://github.com/fayrouzhammal/LIPIDIFy/issues |
| Last updated | 2026-09-23 |
| In Bioconductor since | BioC 3.24 (R-4.6) |
| Downloads rank | 2450 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BatchEffect, Classification, DataImport, DifferentialExpression, GeneSetEnrichment, Lipidomics, MassSpectrometry, MultipleComparison, Normalization, Preprocessing, QualityControl, ShinyApps, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/LIPIDIFy/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("LIPIDIFy")| LIPIDIFy | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | LIPIDIFy_0.99.7.tar.gz |
| Windows binary (x86_64) | LIPIDIFy_0.99.7.zip |
| macOS binary (arm64) | LIPIDIFy_0.99.7.tgz |
| macOS binary (x86_64) | LIPIDIFy_0.99.7.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/LIPIDIFy |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/LIPIDIFy |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5.0)
Imports: shiny (>= 1.8.0), shinydashboard, ggplot2 (>= 3.5.0), ggrepel, plotly, DT, tidyr, dplyr, scales, gridExtra, grid, pheatmap, limma, edgeR, fgsea, FactoMineR, pls, openxlsx, rmarkdown, stringr, withr, utils, stats, grDevices
Suggests: BiocStyle, knitr, testthat (>= 3.0.0), impute, sva, vsn, SummarizedExperiment, tinytex, shinytest2, chromote