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
| Maintainer | Ahmed Mohamed <mohamed@kuicr.kyoto-u.ac.jp> |
| Author | Ahmed Mohamed [cre] (ORCID: <https://orcid.org/0000-0001-6507-5300>), Ahmed Mohamed [aut], Jeffrey Molendijk [aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/ahmohamed/lipidr |
| Bug Reports | https://github.com/ahmohamed/lipidr/issues/ |
| Downloads rank | 374 |
| Source branch | RELEASE_3_23 |
| biocViews | Lipidomics, MassSpectrometry, Normalization, QualityControl, Software, Visualization |
Documentation
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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