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Research Group

Detalle de: Chemometrics for Environmental Omics (Ch4EO)

Title Chemometrics for Environmental Omics (Ch4EO)
Description

The Chemometrics for Environmental Omics group focuses on the development and application of chemometric (data analysis) and analytical tools for the study of problems of environmental interest.

Main research lines include the development of chemometric approaches to analyse datasets coming from diverse analytical platforms, the application of these chemometric data analysis methods to evaluate the metabolomic effects of chemical pollutants and global change stressors on environmentally relevant organisms, and the analysis of environmental data sets (i.e. monitoring studies on air, surface waters, sediments and soils) to retrieve information regarding the identification, resolution, and apportionment of pollution sources and their environmental impact.

Home Page https://www.idaea.csic.es/research-group/chemometrics-for-environmental-omics/
Contact Email joaquim.jaumot@idaea.csic.es
Collaborating Companies
Spin Off
Patents
Hpc Resources
Institution IDAEA
Ontology Omics, Resources, Data Analysis, Artificial Intelligence, Machine Learning in Biology, Bioinformatics Software and Tools, Annotation tools, Analysis packages (R, Python, etc.), Data Visualization, Desktop application, Statistical Methods for Biology, Experimental design, Metabolomics, Metabolome profiling, Multivariate statistics, Image analysis, Non-parametric statistics, Text mining, Natural Language Processing (NLP), Deep Learning in Biology, Metabolite annotation, Metabolite Biomarker Identification, Lipidomics
Tools MCR-ALS 2.0 toolbox
Service Units
Research Lines Chemometric methods for multiplatform analytical data, Environmental metabolomics, Pollution source apportionment
Funded Projects Multiómica espacial y unicelular: un enfoque integrador para el estudio del impacto de los disruptores endocrinos en las células germinales de peces durante la pubertad (GERMTOX)
Selected Publications
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Researchers Joaquim Jaumot

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