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squallms

This is thereleased version of squallms; for the devel version, seesquallms.

Speedy quality assurance via lasso labeling for LC-MS data

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DOI: 10.18129/B9.bioc.squallms


Bioconductor version: Release (3.22)

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 iD ORCID: 0000-0002-5022-8009

Maintainer: William Kumler <wkumler at uw.edu>

Citation (from within R, entercitation("squallms")):

Installation

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

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

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

Documentation

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

browseVignettes("squallms")
Introduction to squallmsHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,Clustering,FeatureExtraction,Lipidomics,MassSpectrometry,Metabolomics,Preprocessing,PrincipalComponent,Proteomics,QualityControl,Regression,ShinyApps,Software,Visualization
Version1.4.0
In Bioconductor sinceBioC 3.20 (R-4.4) (1 year)
LicenseMIT + fileLICENSE
DependsR (>= 4.1.0)
Importsxcms,MSnbase,MsExperiment,RaMS,dplyr,tidyr,tibble,ggplot2,shiny,plotly,data.table,caret, stats, graphics, utils,keys
System Requirements
URLhttps://github.com/wkumler/squallms
Bug Reportshttps://github.com/wkumler/squallms/issues
See More
Suggestsknitr,rmarkdown,BiocStyle,testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagesquallms_1.4.0.tar.gz
Windows Binary (x86_64) squallms_1.4.0.zip
macOS Binary (x86_64)squallms_1.4.0.tgz
macOS Binary (arm64)squallms_1.4.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/squallms
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/squallms
Bioc Package Browserhttps://code.bioconductor.org/browse/squallms/
Package Short Urlhttps://bioconductor.org/packages/squallms/
Package Downloads ReportDownload Stats

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