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diXa: a Data Infrastructure for Chemical Safety Assessment

Authors :
Timo Wittenberger
Marcelo P. Segura-Lepe
Isaia Sotiriadou
Diana M. Hendrickx
Antonella Zanzi
Chris T. Evelo
Hans Gmuender
Hector C. Keun
Jürgen Hescheler
Timothy M. D. Ebbels
Ralf Herwig
Clemens Wittwehr
Dominic Clark
Florian Caiment
Hugo J.W.L. Aerts
Ekaterina Pilicheva
Jos C. S. Kleinjans
Marlon J. Jetten
Dennie G. A. J. Hebels
Danyel Jennen
Ugis Sarkans
John P. Overington
Vera Matser
Stathis Kanterakis
RS: NUTRIM - R4 - Gene-environment interaction
RS: GROW - Oncology
RS: GROW - R1 - Prevention
Toxicogenomics
Promovendi ODB
Radiotherapie
Bioinformatica
RS: FHML MaCSBio
Source :
Europe PubMed Central, Bioinformatics, Bioinformatics, 31(9), 1505-1507. Oxford University Press

Abstract

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.

Details

ISSN :
13674803
Database :
OpenAIRE
Journal :
Europe PubMed Central, Bioinformatics, Bioinformatics, 31(9), 1505-1507. Oxford University Press
Accession number :
edsair.doi.dedup.....bd3af141f266464d4b5a82251b8927d4