proFIA

DOI: 10.18129/B9.bioc.proFIA    

Preprocessing of FIA-HRMS data

Bioconductor version: Release (3.14)

Flow Injection Analysis coupled to High-Resolution Mass Spectrometry is a promising approach for high-throughput metabolomics. FIA- HRMS data, however, cannot be pre-processed with current software tools which rely on liquid chromatography separation, or handle low resolution data only. Here we present the proFIA package, which implements a new methodology to pre-process FIA-HRMS raw data (netCDF, mzData, mzXML, and mzML) including noise modelling and injection peak reconstruction, and generate the peak table. The workflow includes noise modelling, band detection and filtering then signal matching and missing value imputation. The peak table can then be exported as a .tsv file for further analysis. Visualisations to assess the quality of the data and of the signal made are easely produced.

Author: Alexis Delabriere and Etienne Thevenot.

Maintainer: Alexis Delabriere <alexis.delabriere at outlook.fr>

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

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("proFIA")

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("proFIA")

 

HTML R Script processing FIA-HRMS data
PDF   Reference Manual
Text   NEWS

Details

biocViews Lipidomics, MassSpectrometry, Metabolomics, PeakDetection, Preprocessing, Proteomics, Software
Version 1.20.0
In Bioconductor since BioC 3.4 (R-3.3) (5.5 years)
License CeCILL
Depends R (>= 2.5.0), xcms
Imports stats, graphics, utils, grDevices, methods, pracma, Biobase, minpack.lm, BiocParallel, missForest, ropls
LinkingTo
Suggests BiocGenerics, plasFIA, knitr
SystemRequirements
Enhances
URL
Depends On Me plasFIA
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package proFIA_1.20.0.tar.gz
Windows Binary proFIA_1.20.0.zip
macOS 10.13 (High Sierra) proFIA_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/proFIA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/proFIA
Package Short Url https://bioconductor.org/packages/proFIA/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: