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Nucleic Acids Research 2004 32(Web Server Issue):W457-W459; doi:10.1093/nar/gkh446
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© 2004, the authors
Nucleic Acids Research, Vol. 32, Web Server issue © Oxford University Press 2004; all rights reserved

ArrayPipe: a flexible processing pipeline for microarray data

Karsten Hokamp, Fiona M. Roche, Michael Acab, Marc-Etienne Rousseau1, Byron Kuo1, David Goode2, Dana Aeschliman3, Jenny Bryan3, Lorne A. Babiuk4, Robert E. W. Hancock2 and Fiona S. L. Brinkman*

Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada, 1 Inimex Pharmaceuticals Inc., Vancouver, BC, Canada, 2 Department of Microbiology and Immunology and 3 Department of Statistics, University of British Columbia, Vancouver, BC, Canada and 4 VIDO, Saskatoon, SK, Canada

* To whom correspondence should be addressed. Tel: +1 604 291 5646; Fax: +1 604 291 5583; Email: brinkman{at}stu.ca

Received February 13, 2004; Revised and Accepted April 20, 2004

A number of microarray analysis software packages exist already; however, none combines the user-friendly features of a web-based interface with potential ability to analyse multiple arrays at once using flexible analysis steps. The ArrayPipe web server (freely available at www.pathogenomics.ca/arraypipe) allows the automated application of complex analyses to microarray data which can range from single slides to large data sets including replicates and dye-swaps. It handles output from most commonly used quantification software packages for dual-labelled arrays. Application features range from quality assessment of slides through various data visualizations to multi-step analyses including normalization, detection of differentially expressed genes, andcomparison and highlighting of gene lists. A highly customizable action set-up facilitates unrestricted arrangement of functions, which can be stored as action profiles. A unique combination of web-based and command-line functionality enables comfortable configuration of processes that can be repeatedly applied to large data sets in high throughput. The output consists of reports formatted as standard web pages and tab-delimited lists of calculated values that can be inserted into other analysis programs. Additional features, such as web-based spreadsheet functionality, auto-parallelization and password protection make this a powerful tool in microarray research for individuals and large groups alike.


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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