BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Software

A-MADMAN: Annotation-based microarray data meta-analysis tool

Andrea Bisognin1, Alessandro Coppe1, Francesco Ferrari1, Davide Risso1,2, Chiara Romualdi1, Silvio Bicciato3 and Stefania Bortoluzzi1*

Author Affiliations

1 University of Padova, Department of Biology, Via G. Colombo 3, 35121, Padova, Italy

2 University of Padova, Department of Statistical Sciences, via C. Battisti2 41, 35121 Padova, Italy

3 University of Modena and Reggio Emilia, Department of Biomedical Sciences, Via G. Campi 287, 41100, Modena, Italy

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BMC Bioinformatics 2009, 10:201 doi:10.1186/1471-2105-10-201

Published: 29 June 2009

Abstract

Background

Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses. However, the exploitation of this exceptionally rich mine of information is still hampered by the lack of appropriate computational tools, able to overcome the critical issues raised by meta-analysis.

Results

This work presents A-MADMAN, an open source web application which allows the retrieval, annotation, organization and meta-analysis of gene expression datasets obtained from Gene Expression Omnibus. A-MADMAN addresses and resolves several open issues in the meta-analysis of gene expression data.

Conclusion

A-MADMAN allows i) the batch retrieval from Gene Expression Omnibus and the local organization of raw data files and of any related meta-information, ii) the re-annotation of samples to fix incomplete, or otherwise inadequate, metadata and to create user-defined batches of data, iii) the integrative analysis of data obtained from different Affymetrix platforms through custom chip definition files and meta-normalization. Software and documentation are available on-line at http://compgen.bio.unipd.it/bioinfo/amadman/ webcite.