squallms

This is the development version of squallms; for the stable release version, see squallms.

Speedy quality assurance via lasso labeling for LC-MS data


Bioconductor version: Development (3.21)

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.

Author: William Kumler [aut, cre, cph] (ORCID: )

Maintainer: William Kumler <wkumler at uw.edu>

Citation (from within R, enter citation("squallms")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("squallms")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("squallms")
Introduction to squallms HTML R Script
Reference Manual PDF

Details

biocViews Classification, Clustering, FeatureExtraction, Lipidomics, MassSpectrometry, Metabolomics, Preprocessing, PrincipalComponent, Proteomics, QualityControl, Regression, ShinyApps, Software, Visualization
Version 1.1.0
In Bioconductor since BioC 3.20 (R-4.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 3.5.0)
Imports xcms, MSnbase, MsExperiment, RaMS, dplyr, tidyr, tibble, ggplot2, shiny, plotly, data.table, caret, stats, graphics, utils, keys
System Requirements
URL https://github.com/wkumler/squallms
Bug Reports https://github.com/wkumler/squallms/issues
See More
Suggests knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package squallms_1.1.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/squallms
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/squallms
Bioc Package Browser https://code.bioconductor.org/browse/squallms/
Package Short Url https://bioconductor.org/packages/squallms/
Package Downloads Report Download Stats