recipe bioconductor-profia

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.







biotools: profia, doi: 10.1038/nmeth.3252

package bioconductor-profia

(downloads) docker_bioconductor-profia


1.8.1-0, 1.8.0-0, 1.4.0-0, 1.2.0-0

Depends bioconductor-biobase


Depends bioconductor-biocparallel


Depends bioconductor-ropls


Depends bioconductor-xcms


Depends libgcc-ng


Depends r-base


Depends r-minpack.lm

Depends r-missforest

Depends r-pracma



With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-profia

and update with:

conda update bioconductor-profia

or use the docker container:

docker pull<tag>

(see bioconductor-profia/tags for valid values for <tag>)