R packages
biodb: a library and a development framework for connecting to chemical and biological databases (by Pierrick Roger; DOI:10.18129/B9.bioc.biodb)
biosigner: signature discovery from omics data (in collaboration with Philippe Rinaudo; DOI:10.18129/B9.bioc.biosigner)
phenomis: post-processing and univariate analysis of MS data (https://github.com/SciDoPhenIA/phenomis)
proFIA: preprocessing of FIA-HRMS data (by Alexis Delabriere; DOI:10.18129/B9.bioc.proFIA)
ProMetIS: multi-omics phenotyping of the LAT and MX2 knockout mice (with Alyssa Imbert and the ProMetIS consortium; https://github.com/IFB-ElixirFr/ProMetIS)
ptairMS: Pre-processing PTR-TOF-MS Data (by Camille Roquencourt; DOI:10.18129/B9.bioc.ptairMS)
ropls: PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data (DOI:10.18129/B9.bioc.ropls)
Datasets; MetaboLights repository
MTBLS1903: ProMetIS: deep phenotyping of knock-out mice by proteomics and metabolomics.
MTBLS404: Analysis of the human adult urinary metabolome variations with age, body mass index and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses ('Sacurine' data set).
MTBLS148: Impact of collection conditions on the metabolite content of human urine samples as analyzed by liquid chromatography coupled to mass spectrometry and nuclear magnetic resonance spectroscopy.
Galaxy modules; Galaxy toolshed
Batch Correction (in collaboration with Jean-Francois Martin, Melanie Petera, Marion Landi and Franck Giacomoni)
Biosigner (in collaboration with Philippe Rinaudo)
Heatmap
Multivariate
proFIA (in collaboration with Alexis Delabriere)
Quality Metrics (in collaboration with Melanie Petera)
Univariate (in collaboration with Marie Tremblay-Franco)
Workflows and histories; Workflow4Metabolomics e-infrastructure
W4M00001_Sacurine-statistics (DOI:10.15454/1.4811121736910142E12)
W4M00002_Sacurine-comprehensive (DOI:10.15454/1.481114233733302E12)
W4M00003_Diaplasma (DOI:10.15454/1.4811165052113186E12)