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Nucleic Acids Research 2004 32(Web Server Issue):W465-W470; doi:10.1093/nar/gkh470
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© 2004, the authors
Nucleic Acids Research, Vol. 32, Web Server issue © Oxford University Press 2004; all rights reserved

Expression Profiler: next generation—an online platform for analysis of microarray data

Misha Kapushesky1,*, Patrick Kemmeren1,2, Aedín C. Culhane3, Steffen Durinck4, Jan Ihmels5, Christine Körner6, Meelis Kull7,8, Aurora Torrente1, Ugis Sarkans1, Jaak Vilo1,7,8,9 and Alvis Brazma1

1 European Bioinformatics Institute, United Kingdom, 2 Genomics Laboratory, Division of Biomedical Genetics, UMC Utrecht, the Netherlands, 3 Conway Institute, University College Dublin, Ireland, 4 ESAT, KULeuven, Belgium, 5 Weizmann Institute of Science, Israel, 6 University of Leipzig, Germany, 7 Egeen International, Estonia, 8 Department of Computer Science, University of Tartu, Estonia and 9 Estonian Biocenter, Estonia

* To whom correspondence should be addressed. Tel: +44 1223 494 647; Fax: +44 1223 494 468; Email: ostolop{at}ebi.ac.uk

Received February 14, 2004; Revised and Accepted April 29, 2004

Expression Profiler (EP, http://www.ebi.ac.uk/expressionprofiler) is a web-based platform for microarray gene expression and other functional genomics-related data analysis. The new architecture, Expression Profiler: next generation (EP:NG), modularizes the original design and allows individual analysis-task-related components to be developed by different groups and yet still seamlessly to work together and share the same user interface look and feel. Data analysis components for gene expression data preprocessing, missing value imputation, filtering, clustering methods, visualization, significant gene finding, between group analysis and other statistical components are available from the EBI (European Bioinformatics Institute) web site. The web-based design of Expression Profiler supports data sharing and collaborative analysis in a secure environment. Developed tools are integrated with the microarray gene expression database ArrayExpress and form the exploratory analytical front-end to those data. EP:NG is an open-source project, encouraging broad distribution and further extensions from the scientific community.

The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated.


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