Package: lipidr
Title: Lipidomics Analysis Workflow in R
Version: 1.0.0
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 lipidomics data. lipidr parses results exported 
    from Skyline directly into R, allowing integration into current analysis 
    frameworks. 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, chain length and unsaturation.    
Depends: R (>= 3.6.0), SummarizedExperiment
Imports: methods, stats, utils, S4Vectors, rlang, dplyr, tidyr,
        forcats, ggplot2, limma, fgsea, ropls, magrittr
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, BiocStyle, ggrepel, plotly, covr, spelling
VignetteBuilder: knitr
biocViews: Lipidomics, MassSpectrometry, Normalization, QualityControl,
        Visualization
Language: en-US
RoxygenNote: 6.1.1
Roxygen: list(markdown = TRUE)
URL: https://github.com/ahmohamed/lipidr
BugReports: https://github.com/ahmohamed/lipidr/issues/
git_url: https://git.bioconductor.org/packages/lipidr
git_branch: RELEASE_3_9
git_last_commit: 602dfc3
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: no
Packaged: 2019-05-03 03:33:47 UTC; biocbuild
Author: Ahmed Mohamed [cre] (<https://orcid.org/0000-0001-6507-5300>),
  Ahmed Mohamed [aut],
  Jeffrey Molendijk [aut]
Maintainer: Ahmed Mohamed <mohamed@kuicr.kyoto-u.ac.jp>
Built: R 3.6.1; ; 2019-08-01 13:59:25 UTC; unix
