diXa: a data infrastructure for chemical safety assessment.

Bioinformatics

Department 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.

Published: May 2015

Motivation: The field of toxicogenomics (the application of '-omics' technologies to risk assessment of compound toxicities) has expanded in the last decade, partly driven by new legislation, aimed at reducing animal testing in chemical risk assessment but mainly as a result of a paradigm change in toxicology towards the use and integration of genome wide data. Many research groups worldwide have generated large amounts of such toxicogenomics data. However, there is no centralized repository for archiving and making these data and associated tools for their analysis easily available.

Results: The Data Infrastructure for Chemical Safety Assessment (diXa) is a robust and sustainable infrastructure storing toxicogenomics data. A central data warehouse is connected to a portal with links to chemical information and molecular and phenotype data. diXa is publicly available through a user-friendly web interface. New data can be readily deposited into diXa using guidelines and templates available online. Analysis descriptions and tools for interrogating the data are available via the diXa portal.

Availability And Implementation: http://www.dixa-fp7.eu

Contact: d.hendrickx@maastrichtuniversity.nl; info@dixa-fp7.eu

Supplementary Information: Supplementary data are available at Bioinformatics online.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410652PMC
http://dx.doi.org/10.1093/bioinformatics/btu827DOI Listing

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