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, Jack A. M. Leunissen

Research output: Contribution to journalArticlepeer-review

127 Citations (Scopus)


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) will be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part which is independent of 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.
Original languageEnglish
Article number160
JournalJournal of Integrative Bioinformatics
Issue number2
Publication statusPublished - 2011


  • Brassica rapa
  • Databases, Genetic
  • Genomics
  • Internet
  • Metabolomics
  • Software
  • User-Computer Interface

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