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squallms

Speedy quality assurance via lasso labeling for LC-MS data

Bioconductor version: 3.23 · Package version: 1.6.0

squallms is a Bioconductor R package that implements a "semi-labeled" approach to untargeted mass spectrometry data. It pulls in raw data from mass-spec files to calculate several metrics that are then used to label MS features in bulk as high or low quality. These metrics of peak quality are then passed to a simple logistic model that produces a fully-labeled dataset suitable for downstream analysis.

Installation

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

BiocManager::install("squallms")

Details

MaintainerWilliam Kumler <wkumler@uw.edu>
AuthorWilliam Kumler [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-5022-8009>)
LicenseMIT + file LICENSE
URLhttps://github.com/wkumler/squallms
Bug Reportshttps://github.com/wkumler/squallms/issues
Downloads rank153
Source branchRELEASE_3_23
biocViewsClassification, Clustering, FeatureExtraction, Lipidomics, MassSpectrometry, Metabolomics, Preprocessing, PrincipalComponent, Proteomics, QualityControl, Regression, ShinyApps, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.1.0)

Imports: xcms, MSnbase, MsExperiment, RaMS, dplyr, tidyr, tibble, ggplot2, shiny, plotly, data.table, caret, stats, graphics, utils, keys

Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)