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BY-NC-ND 4.0 license Open Access Published by De Gruyter October 18, 2016

MADMAX – Management and analysis database for multiple ~omics experiments

  • Ke Lin , Harrie Kools , Philip J. de Groot , Anand K. Gavai , Ram K. Basnet , Feng Cheng , Jian Wu , Xiaowu Wang , Arjen Lommen , Guido J. E. J. Hooiveld , Guusje Bonnema , Richard G. F. Visser , Michael R. Muller and Jack A. M. Leunissen EMAIL logo


The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designed to provide a solution for storage and analysis of complex ~omics datasets. In addition, analysis results (such as lists of genes) can be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part, which is linked to the different analysis pipelines. A pilot study of different type of ~omics data in Brassica rapa demonstrates the possible use of MADMAX. The web-based user interface provides easy access to data and analysis tools on top of the database.

Published Online: 2016-10-18
Published in Print: 2011-6-1

© 2011 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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