A5000394997- Metabolomics and Mass Spectrometry Studies
- Statistical Methods and Inference
- Pesticide Residue Analysis and Safety
- Pesticide and Herbicide Environmental Studies
- Water Quality Monitoring and Analysis
- Spectroscopy and Chemometric Analyses
- Bayesian Methods and Mixture Models
- Pharmaceutical and Antibiotic Environmental Impacts
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Chromatography
- Advanced Statistical Methods and Models
- Advanced Clustering Algorithms Research
- Adipose Tissue and Metabolism
- Computational Drug Discovery Methods
- Neural Networks and Applications
- Control Systems and Identification
- Face and Expression Recognition
- Toxic Organic Pollutants Impact
- Mathematical Dynamics and Fractals
- Animal Behavior and Welfare Studies
- Gene expression and cancer classification
- Environmental Toxicology and Ecotoxicology
- Reproductive Physiology in Livestock
- Sparse and Compressive Sensing Techniques
- Genetic and phenotypic traits in livestock
Laboratoire de Biotechnologie de l'Environnement
2014-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2025
Université de Montpellier
2020-2025
Université de Toulouse
2014-2021
École Nationale Vétérinaire de Toulouse
2014-2021
Innovations thérapeutiques et résistances
2015-2020
CNR de la Résistance aux Antibiotiques
2015-2020
Toxalim Research Centre in Food Toxicology
2009-2018
Université Toulouse III - Paul Sabatier
2017-2018
Institut National de la Recherche Agronomique du Niger
2018
Abstract Motivation In metabolomics, the detection of new biomarkers from Nuclear Magnetic Resonance (NMR) spectra is a promising approach. However, this analysis remains difficult due to lack whole workflow that handles pre-processing, automatic identification and quantification metabolites statistical analyses, in reproducible way. Results We present ASICS, an R package contains complete analyse NMR experiments. It approach identify quantify complex mixture spectrum uses results untargeted...
Capturing produced, consumed, or exchanged metabolites (metabolomics) and the result of gene expression (transcriptomics) require extraction RNA. Multi-omics approaches and, notably, combination metabolomics transcriptomic analyses are required for understanding functional changes adaptation microorganisms to different physico-chemical environmental conditions. A protocol was developed extract total RNA from less than 6 mg a kind phototrophic biofilm: oxygenic photogranules. These granules...
Oxygenic photogranules mainly composed of cyanobacteria and heterotrophic bacteria, have gained attention for their ability to treat wastewater (removal C, N, P) without external aeration. Currently, the metabolic dynamics varying nutrient light conditions in treatment systems remains poorly studied. However, understanding how quickly photogranule metabolism changes, whether this change is temporary or permanent important optimal use photogranules. Here, an NMR-based metabolomics approach...
In this paper, we study an unsupervised clustering problem. The originality of problem lies in the data, which consist positions five separate X‐ray beams on a circle. Radiation therapists positioned beam ‘projectors’ around each patient predefined However, similarities exist positioning for certain groups patients, and aim to describe these with goal creating pre‐adjustment settings that could help save time during positioning. We therefore performed observed positions. Because data angle...
Bisphenol A (BPA) risk assessment is hampered by the difficulty of determining extent internal exposure in human fetus and uncertainties regarding BPA toxicokinetics (TK) maternal-fetal unit. feto-maternal TK model describing glucuronide (BPAG) disposition sheep was humanized, using data obtained after d6-BPA administration on a cookie, to predict BPAG kinetics mother-fetus Validation predictions included assessed dose proportionality similarity between simulated measured time courses fetal...
In mammalian species, the first days after birth are an important period for survival and mortality rate is high before weaning. pigs, perinatal deaths average 20% of litter, with economic societal consequences. Maturity one most factors that influence piglet at birth. can be defined as outcome complex mechanisms intra-uterine development maturation during last month gestation. Here, we provide new insights into maturity obtained by studying end gestation two different stages (3 weeks term...
Metabolomics is a promising approach to characterize phenotypes or identify biomarkers. It also easily accessible through NMR, which can provide comprehensive understanding of the metabolome any living organisms. However, analysis 1H NMR spectrum remains difficult, mainly due different problems encountered perform automatic identification and quantification metabolites in reproducible way. In addition, methods that are often designed process one given complex mixture at time. Hence, when set...
The GMO90+ project was designed to identify biomarkers of exposure or health effects in Wistar Han RCC rats exposed their diet 2 genetically modified plants (GMP) and assess additional information with the use metabolomic transcriptomic techniques. Rats were fed for 6-months 8 maize-based diets at 33% that comprised either MON810 (11% 33%) NK603 grains without glyphosate treatment) corresponding near-isogenic controls. Extensive chemical targeted analyses undertaken each demonstrated they...
It is a real challenge for life cycle assessment practitioners to identify all relevant substances contributing ecotoxicity. Once this identification has been made, the lack of corresponding ecotoxicity factors can make results partial and difficult interpret. So, it important provide wide range compounds. Nevertheless, obtaining such using experiments tedious, time-consuming, made at high cost. A modeling method that could predict these from easy-to-obtain information on each chemical would...
Abstract In this article, we focus on the problem of variable selection in a functional regression framework. This question is motivated by practical applications field agronomy: field, identifying temporal periods during which weather measurements have greatest impact yield critical for guiding agriculture practices changing environment. From methodological point view, our goal to identify consecutive measurement points definition domain predictors, correspond most important intervals...
Abstract Together with environmental factors, physiological maturity at birth is a major determinant for neonatal survival and postnatal development in mammalian species. Maturity the outcome of complex mechanisms intra-uterine maturation during end gestation. In pig production, piglet preweaning mortality averages 20% litter thus, welfare economic concern. Here, we used both targeted untargeted metabolomic approaches to provide deeper understanding model lines pigs divergently selected on...