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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.

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)


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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.


Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
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.  (2011)  MADMAX - Management and analysis database for multiple ~omics experiments. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 8(2), 2011

Online-Journal: http://journal.imbio.de/article.php?aid=160
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2011/5176



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