Skip Navigation


Bioinformatics Advance Access first published online on July 15, 2004
This version published online on August 27, 2004
Bioinformatics, doi:10.1093/bioinformatics/bth396
Bioinformatics © Oxford University Press 2004; all rights reserved
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
20/18/3641    most recent
bth396v2
bth396v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Durinck, S.
Right arrow Articles by De Moor, B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Durinck, S.
Right arrow Articles by De Moor, B.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Received March 1, 2004
Revised May 17, 2004
Accepted June 29, 2004

Applications note

Importing MAGE-ML format microarray data into BioConductor

Steffen Durinck 1*, Joke Allemeersch 1*, Vincent J. Carey 2, Yves Moreau 3, Bart De Moor 1

1 Department of Electronical Engineering, ESAT-SCD, K.U.Leuven, Kasteelpark Arenberg 10, 3001, Leuven-Heverlee, Belgium
2 Channing Laboratory, Brigham and Women's Hospital, 75 Francis Street, Boston, 02115, USA
3 Department of Electronical Engineering, ESAT-SCD, K.U.Leuven, Kasteelpark Arenberg 10, 3001, Leuven-Heverlee, Belgium; Center for Biological Sequence Analysis, BioCentrum, Technical University of Denmark, Kemitorvet, Building 208, 2800, Lyngby, Denmark

* To whom correspondence should be addressed. E-mail: joke.allemeersch{at}esat.kuleuven.ac.be.


  Abstract

The microarray gene expression markup language (MAGE-ML) is a widely used XML (eXtensible Markup Language) standard for describing and exchanging information about microarray experiments. It can describe microarray designs, microarray experiment designs, gene expression data, and data analysis results. We describe RMAGEML, a new Bioconductor package that provides a link between cDNA microarray data stored in MAGE-ML format and the Bioconductor framework for preprocessing, visualization, and analysis of microarray experiments.

Availability: http://www.bioconductor.org. Open Source.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 BioinformaticsHome page
A. Kauffmann, T. F. Rayner, H. Parkinson, M. Kapushesky, M. Lukk, A. Brazma, and W. Huber
Importing ArrayExpress datasets into R/Bioconductor
Bioinformatics, August 15, 2009; 25(16): 2092 - 2094.
[Abstract] [Full Text] [PDF]

Home page
 Plant Physiol.Home page
G. Mukherjee, N. Abeygunawardena, H. Parkinson, S. Contrino, S. Durinck, A. Farne, E. Holloway, P. Lilja, Y. Moreau, A. Oezcimen, et al.
Plant-Based Microarray Data at the European Bioinformatics Institute. Introducing AtMIAMExpress, a Submission Tool for Arabidopsis Gene Expression Data to ArrayExpress
Plant Physiology, October 1, 2005; 139(2): 632 - 636.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.