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sfi

This is the released version of sfi; for the devel version, see sfi.

All versions 3.24 (devel), 3.23 (release)

Data analysis for Single File Injections (SFIs) mode LC-MS analysis


Bioconductor version: Release (3.23)

Data analysis for Single File Injections(SFIs) mode LC-MS analysis. In SFIs mode, pooled samples are initially injected to serve as reference peaks for subsequent analyses. Repeated injections of individual samples are then performed at fixed time intervals using isocratic elution. This package provides the functions to analyze data from SFIs mode including peak picking and peak reassignment.

Author: Miao YU [aut, cre] ORCID iD ORCID: 0000-0002-2804-6014

Maintainer: Miao YU <yufreecas at gmail.com>

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

Miao YU. sfi: Data analysis for Single File Injections (SFIs) mode LC-MS analysis. doi:10.18129/B9.bioc.sfi, R package version 1.0.0, https://bioconductor.org/packages/sfi.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("sfi")

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("sfi")
sfi workflow HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews FeatureExtraction, MassSpectrometry, Metabolomics, Software
Version1.0.0
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports Rcpp, enviGCMS, stats, mzR, rmarkdown, methods, SummarizedExperiment, S4Vectors
System Requirements
URLhttps://github.com/yufree/sfi
Bug Reportshttps://github.com/yufree/sfi/issues/new
See More
Suggests knitr, data.table, BiocStyle, ggplot2, MsCoreUtils, testthat (>= 3.0.0)
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package sfi_1.0.0.tar.gz
Windows Binary (x86_64) sfi_1.0.0.zip
macOS Binary (big-sur-x86_64) sfi_1.0.0.tgz
macOS Binary (sonoma-arm64) sfi_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/sfi
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/sfi
Package Short Url https://bioconductor.org/packages/sfi/
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