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Package: lipidr
Title: Data Mining and Analysis of Lipidomics Datasets
Version: 2.15.1
Authors@R: c(
person(
"Ahmed", "Mohamed",
email = "mohamed@kuicr.kyoto-u.ac.jp", role = "cre",
comment = c(ORCID = "0000-0001-6507-5300")
),
person(
"Ahmed", "Mohamed",
email = "ahmed.mohamed@qimrberghofer.edu.au", role = "aut"
),
person(
"Jeffrey", "Molendijk",
email = "Jeffrey.Molendijk@qimrberghofer.edu.au", role = "aut"
))
Description: 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.
Depends:
R (>= 3.6.0),
SummarizedExperiment
Imports:
methods,
stats,
utils,
data.table,
S4Vectors,
rlang,
dplyr,
tidyr,
forcats,
ggplot2,
limma,
fgsea,
ropls,
imputeLCMD,
magrittr
License: MIT + file LICENSE
Suggests:
knitr,
rmarkdown,
BiocStyle,
ggrepel,
plotly,
spelling,
testthat
VignetteBuilder: knitr
biocViews: Lipidomics, MassSpectrometry, Normalization, QualityControl,
Visualization
Language: en-US
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
URL: https://github.com/ahmohamed/lipidr
BugReports: https://github.com/ahmohamed/lipidr/issues/