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Nucleic Acids Research 2005 33(Web Server Issue):W644-W649; doi:10.1093/nar/gki497
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© The Author 2005. Published by Oxford University Press. All rights reserved
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 for non-commercial purposes 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. For commercial re-use, please contact journals.permissions{at}oupjournals.org

Article

MIDAW: a web tool for statistical analysis of microarray data

Chiara Romualdi, Nicola Vitulo, Micky Del Favero and Gerolamo Lanfranchi*

Dipartimento di Biologia, CRIBI Biotechnology Centre, Università degli Studi di Padova Via Ugo Bassi 58/B, I-35121 Padua, Italy

*To whom correspondence should be addressed. Tel: +39 0498276221; Fax: +39 0498276259; Email: lanfra{at}cribi.unipd.it

Received February 8, 2005. Revised March 21, 2005. Accepted April 26, 2005.

MIDAW (microarray data analysis web tool) is a web interface integrating a series of statistical algorithms that can be used for processing and interpretation of microarray data. MIDAW consists of two main sections: data normalization and data analysis. In the normalization phase the simultaneous processing of several experiments with background correction, global and local mean and variance normalization are carried out. The data analysis section allows graphical display of expression data for descriptive purposes, estimation of missing values, reduction of data dimension, discriminant analysis and identification of marker genes. The statistical results are organized in dynamic web pages and tables, where the transcript/gene probes contained in a specific microarray platform can be linked (according to user choice) to external databases (GenBank, Entrez Gene, UniGene). Tutorial files help the user throughout the statistical analysis to ensure that the forms are filled out correctly. MIDAW has been developed using Perl and PHP and it uses R/Bioconductor languages and routines. MIDAW is GPL licensed and freely accessible at http://muscle.cribi.unipd.it/midaw/. Perl and PHP source codes are available from the authors upon request.


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