proFIA
This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
Preprocessing of FIA-HRMS data
Bioconductor version: Release (3.17)
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("proFIA")):
Installation
To install this package, start R (version "4.3") 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
| Reference Manual |
Details
| biocViews | Lipidomics, MassSpectrometry, Metabolomics, PeakDetection, Preprocessing, Proteomics, Software |
| Version | 1.26.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (7 years) |
| License | CeCILL |
| Depends | R (>= 2.5.0), xcms |
| Imports | stats, graphics, utils, grDevices, methods, pracma, Biobase, minpack.lm, BiocParallel, missForest, ropls |
| Linking To | |
| Suggests | BiocGenerics, plasFIA, knitr |
| System Requirements | |
| Enhances | |
| URL |
See More
| 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 | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |