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  diXa: a data infrastructure for chemical safety assessment

Hendrickx, D. M., Aerts, H. J. W. L., Caiment, F., Clark, D., Ebbels, T. M. D., Evelo, C. T., et al. (2015). diXa: a data infrastructure for chemical safety assessment. Bioinformatics, 31(9), 1505-1507. doi:10.1093/bioinformatics/btu827.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-B067-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-FA55-7
Genre: Journal Article

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© The Author 2014. Published by Oxford University Press.

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 Creators:
Hendrickx, Diana M. , Author
Aerts, Hugo J. W. L. , Author
Caiment, Florian , Author
Clark, Dominic , Author
Ebbels, Timothy M. D. , Author
Evelo, Chris T. , Author
Gmuender, Hans, Author
Hebels, Dennie G. A. J. , Author
Herwig, Ralf1, Author              
Hescheler, Jürgen, Author
Jennen, Danyel G. J. , Author
Jetten, Marlon J. A. , Author
Kanterakis, Stathis , Author
Keun, Hector C. , Author
Matser, Vera, Author
Overington, John P. , Author
Pilicheva, Ekaterina , Author
Sarkans, Ugis, Author
Segura-Lepe, Marcelo P. , Author
Sotiriadou, Isaia , Author
Wittenberger, Timo, AuthorWittwehr, Clemens , AuthorZanzi, Antonella , AuthorKleinjans, Jos C. S. , Author more..
Affiliations:
1Bioinformatics (Ralf Herwig), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2385701              

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 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.

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Language(s): eng - English
 Dates: 2014-12-122015-05-01
 Publication Status: Published in print
 Pages: 3
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1093/bioinformatics/btu827
 Degree: -

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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 31 (9) Sequence Number: - Start / End Page: 1505 - 1507 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991