MADMAX – Management and analysis database for multiple ~omics experiments
Full article [PDF] (1,12 MB)
doi:10.2390/biecoll-jib-2011-160
May 04, 2011
June 14, 2011
July 21, 2011
PubMed ID 21778530
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. K. Hooiveld, Guusje Bonnema, Richard G. F. Visser, Michael R. Muller and Jack A. M. Leunissen
Correspondence should be addressed to:
Jack Leunissen
Laboratory of Bioinformatics, P.O. Box 569, 6700 AN Wageningen, the Netherlands
ln.ruw@nullnessinuel.kcaj
Abstract
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.