MADMAX – Management and analysis database for multiple ~omics experiments

• Main Authors: Lin Ke, Kools Harrie, de Groot Philip J., Gavai Anand K., Basnet Ram K., Cheng Feng, Wu Jian, Wang Xiaowu, Lommen Arjen, Hooiveld Guido J. E. J., Bonnema Guusje, Visser Richard G. F., Muller Michael R., Leunissen Jack A. M.
• Format: Article
• Language: English
• Published: De Gruyter 2011-06-01
• Series: Journal of Integrative Bioinformatics
• Online Access: https://doi.org/10.1515/jib-2011-160
• ISSN: 1613-4516

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.