recipe bioconductor-profia

Preprocessing of FIA-HRMS data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/proFIA.html

License:

CeCILL

Recipe:

/bioconductor-profia/meta.yaml

Links:

biotools: profia, doi: 10.1038/nmeth.3252

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.

package bioconductor-profia

Versions:

1.23.0-1,  1.23.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.3-0,  1.15.0-0,  1.14.0-0, 

1.23.0-1,  1.23.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.3-0,  1.15.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.1-0,  1.8.0-0,  1.4.0-0,  1.2.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-ropls >=1.30.0,<1.31.0

• bioconductor-xcms >=3.20.0,<3.21.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

• r-minpack.lm

• r-missforest

• r-pracma

Required By:

• bioconductor-plasfia

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-profia

and update with:

conda update bioconductor-profia

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-profia:<tag>

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

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