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diXa: a data infrastructure for chemical safety assessment
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410652/ https://www.ncbi.nlm.nih.gov/pubmed/25505093 http://dx.doi.org/10.1093/bioinformatics/btu827 |
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author | Hendrickx, Diana M. Aerts, Hugo J.W.L. Caiment, Florian Clark, Dominic Ebbels, Timothy M.D. Evelo, Chris T. Gmuender, Hans Hebels, Dennie G.A.J. Herwig, Ralf Hescheler, Jürgen Jennen, Danyel G.J. Jetten, Marlon J.A. Kanterakis, Stathis Keun, Hector C. Matser, Vera Overington, John P. Pilicheva, Ekaterina Sarkans, Ugis Segura-Lepe, Marcelo P. Sotiriadou, Isaia Wittenberger, Timo Wittwehr, Clemens Zanzi, Antonella Kleinjans, Jos C.S. |
author_facet | Hendrickx, Diana M. Aerts, Hugo J.W.L. Caiment, Florian Clark, Dominic Ebbels, Timothy M.D. Evelo, Chris T. Gmuender, Hans Hebels, Dennie G.A.J. Herwig, Ralf Hescheler, Jürgen Jennen, Danyel G.J. Jetten, Marlon J.A. Kanterakis, Stathis Keun, Hector C. Matser, Vera Overington, John P. Pilicheva, Ekaterina Sarkans, Ugis Segura-Lepe, Marcelo P. Sotiriadou, Isaia Wittenberger, Timo Wittwehr, Clemens Zanzi, Antonella Kleinjans, Jos C.S. |
author_sort | Hendrickx, Diana M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4410652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44106522015-04-30 diXa: a data infrastructure for chemical safety assessment Hendrickx, Diana M. Aerts, Hugo J.W.L. Caiment, Florian Clark, Dominic Ebbels, Timothy M.D. Evelo, Chris T. Gmuender, Hans Hebels, Dennie G.A.J. Herwig, Ralf Hescheler, Jürgen Jennen, Danyel G.J. Jetten, Marlon J.A. Kanterakis, Stathis Keun, Hector C. Matser, Vera Overington, John P. Pilicheva, Ekaterina Sarkans, Ugis Segura-Lepe, Marcelo P. Sotiriadou, Isaia Wittenberger, Timo Wittwehr, Clemens Zanzi, Antonella Kleinjans, Jos C.S. Bioinformatics Applications Notes 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. Oxford University Press 2015-05-01 2014-12-12 /pmc/articles/PMC4410652/ /pubmed/25505093 http://dx.doi.org/10.1093/bioinformatics/btu827 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Hendrickx, Diana M. Aerts, Hugo J.W.L. Caiment, Florian Clark, Dominic Ebbels, Timothy M.D. Evelo, Chris T. Gmuender, Hans Hebels, Dennie G.A.J. Herwig, Ralf Hescheler, Jürgen Jennen, Danyel G.J. Jetten, Marlon J.A. Kanterakis, Stathis Keun, Hector C. Matser, Vera Overington, John P. Pilicheva, Ekaterina Sarkans, Ugis Segura-Lepe, Marcelo P. Sotiriadou, Isaia Wittenberger, Timo Wittwehr, Clemens Zanzi, Antonella Kleinjans, Jos C.S. diXa: a data infrastructure for chemical safety assessment |
title | diXa: a data infrastructure for chemical safety assessment |
title_full | diXa: a data infrastructure for chemical safety assessment |
title_fullStr | diXa: a data infrastructure for chemical safety assessment |
title_full_unstemmed | diXa: a data infrastructure for chemical safety assessment |
title_short | diXa: a data infrastructure for chemical safety assessment |
title_sort | dixa: a data infrastructure for chemical safety assessment |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410652/ https://www.ncbi.nlm.nih.gov/pubmed/25505093 http://dx.doi.org/10.1093/bioinformatics/btu827 |
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