LIPIDIFy
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("LIPIDIFy") Details
| Maintainer | Fayrouz Hammal <fayrouz.hammal@petermac.org> |
| Author | Fayrouz Hammal [aut, cre] (ORCID: <https://orcid.org/0000-0002-7612-4953>), Karen Sheppard [fnd] (NHMRC of Australia grant #2020050) |
| License | MIT + file LICENSE |
| URL | https://github.com/fayrouzhammal/LIPIDIFy |
| Bug Reports | https://github.com/fayrouzhammal/LIPIDIFy/issues |
| Source branch | devel |
| biocViews | BatchEffect, Classification, DataImport, DifferentialExpression, GeneSetEnrichment, Lipidomics, MassSpectrometry, MultipleComparison, Normalization, Preprocessing, QualityControl, ShinyApps, Software, Visualization |
Documentation
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 |
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