lipidr: Data Mining and Analysis of Lipidomics Datasets

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.

Package details

AuthorAhmed Mohamed [cre] (<https://orcid.org/0000-0001-6507-5300>), Ahmed Mohamed [aut], Jeffrey Molendijk [aut]
Bioconductor views Lipidomics MassSpectrometry Normalization QualityControl Visualization
MaintainerAhmed Mohamed <mohamed@kuicr.kyoto-u.ac.jp>
LicenseMIT + file LICENSE
Version2.2.0
URL https://github.com/ahmohamed/lipidr
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("lipidr")

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lipidr documentation built on April 29, 2020, 3:02 a.m.