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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: Development (3.24)

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] ORCID iD ORCID: 0000-0002-7612-4953 , 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.

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 ManualPDF
NEWSText
LICENSEText

Details

biocViews BatchEffect, Classification, DataImport, DifferentialExpression, GeneSetEnrichment, Lipidomics, MassSpectrometry, MultipleComparison, Normalization, Preprocessing, QualityControl, ShinyApps, Software, Visualization
Version0.99.7
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
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
System Requirements
URLhttps://github.com/fayrouzhammal/LIPIDIFy
Bug Reportshttps://github.com/fayrouzhammal/LIPIDIFy/issues
See More
Suggests BiocStyle, knitr, testthat (>= 3.0.0), impute, sva, vsn, SummarizedExperiment, tinytex, shinytest2, chromote
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Build Report Build Report, r-universe

Package Archives

Follow 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 (big-sur-x86_64) LIPIDIFy_0.99.7.tgz
macOS Binary (sonoma-arm64) LIPIDIFy_0.99.7.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/LIPIDIFy
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/LIPIDIFy
Package Short Url https://bioconductor.org/packages/LIPIDIFy/
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