Journal of Integrative Bioinformatics (Jun 2011)

MADMAX – Management and analysis database for multiple ~omics experiments

  • 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.

DOI
https://doi.org/10.1515/jib-2011-160
Journal volume & issue
Vol. 8, no. 2
pp. 59 – 74

Abstract

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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.