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diXa: a data infrastructure for chemical safety assessment
Diana M Hendrickx1, Hugo J W L Aerts1, Florian Caiment1
1Department of Toxicogenomics, School of Oncology and Developmental Biology (GROW), Maastricht University, 6200 MD Maastricht, The Netherlands, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, 02215, MA, USA, European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SD, UK, Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington, London SW7 2AZ, UK, Department of Bioinformatics - BiGCaT, Maastricht University, 6200 MD Maastricht, The Netherlands, Genedata AG, CH-4053 Basel, Switzerland, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany, Center of Physiology and Pathophysiology, Institute of Neurophysiology, University of Cologne, Cologne 50931, Germany and European Commission, Joint Research Centre, 21027 Ispra VA, Italy.
The Data Infrastructure for Chemical Safety Assessment (diXa) provides a centralized repository for toxicogenomics data. This infrastructure facilitates data sharing and analysis, supporting chemical safety risk assessment.
Area of Science:
- Toxicogenomics
- Chemical Safety Assessment
- Bioinformatics
Background:
- Toxicogenomics, utilizing '-omics' technologies for toxicity risk assessment, has grown significantly due to legislation and a shift towards genome-wide data in toxicology.
- Numerous research groups have generated substantial toxicogenomics data, but a centralized repository for storage and analysis tools is lacking.
- Existing data fragmentation hinders comprehensive chemical risk assessment and the advancement of toxicological research.
Purpose of the Study:
- To establish a robust and sustainable infrastructure for archiving and accessing toxicogenomics data.
- To create a centralized platform that integrates chemical information with molecular and phenotype data.
- To provide user-friendly access to toxicogenomics data and associated analysis tools for the scientific community.
Main Methods:
- Development of the Data Infrastructure for Chemical Safety Assessment (diXa) as a centralized data warehouse.
- Integration of a user-friendly web portal linked to chemical, molecular, and phenotype data.
- Implementation of guidelines and templates for straightforward data deposition and availability of analysis tools.
Main Results:
- diXa offers a sustainable infrastructure for storing diverse toxicogenomics data.
- The diXa portal provides public access to integrated data and analysis tools via a user-friendly interface.
- The system supports easy data deposition, promoting data sharing and collaborative research in chemical safety.
Conclusions:
- diXa addresses the need for a centralized repository for toxicogenomics data, enhancing chemical safety assessment.
- The infrastructure promotes data accessibility and reuse, facilitating research and reducing redundant efforts.
- diXa represents a significant advancement in managing and utilizing toxicogenomics data for risk assessment.
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