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.
Department of Toxicogenomics, School of Oncology and Developmental Biology (GROW), Maastricht University, Netherlands; Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambs, UK; Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington, London, UK; Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, Netherlands; Genedata AG, Basel, Switzerland; Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany; Center of Physiology and Pathophysiology, Institute of Neurophysiology, University of Cologne, Cologne, Germany; European Commission, Joint Research Centre, Ispra VA, Italy