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lipidr

Data Mining and Analysis of Lipidomics Datasets

Bioconductor version: 3.23 · Package version: 2.26.0

lipidr an easy-to-use R package implementing a complete workflow for downstream analysis of targeted and untargeted lipidomics data. lipidomics results can be imported into lipidr as a numerical matrix or a Skyline export, allowing integration into current analysis frameworks. Data mining of lipidomics datasets is enabled through integration with Metabolomics Workbench API. lipidr allows data inspection, normalization, univariate and multivariate analysis, displaying informative visualizations. lipidr also implements a novel Lipid Set Enrichment Analysis (LSEA), harnessing molecular information such as lipid class, total chain length and unsaturation.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("lipidr")

Details

MaintainerAhmed Mohamed <mohamed@kuicr.kyoto-u.ac.jp>
AuthorAhmed Mohamed [cre] (ORCID: <https://orcid.org/0000-0001-6507-5300>), Ahmed Mohamed [aut], Jeffrey Molendijk [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/ahmohamed/lipidr
Bug Reportshttps://github.com/ahmohamed/lipidr/issues/
Downloads rank374
Source branchRELEASE_3_23
biocViewsLipidomics, MassSpectrometry, Normalization, QualityControl, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 3.6.0), SummarizedExperiment

Imports: methods, stats, utils, data.table, S4Vectors, rlang, dplyr, tidyr, forcats, ggplot2, limma, fgsea, ropls, imputeLCMD, magrittr

Suggests: knitr, rmarkdown, BiocStyle, ggrepel, plotly, spelling, testthat

Reverse dependencies

Suggests Me (1): rgoslin