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. and Leunissen, Jack A. M. (2011) MADMAX - Management and analysis database for multiple ~omics experiments. Journal of Integrative Bioinformatics, 8 (2). 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.

Item Type:	Article
Uncontrolled Keywords:	brassica rapa,databases, genetic,genomics,internet,metabolomics,software,user-computer interface
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Nutrition and Preventive Medicine Faculty of Medicine and Health Sciences > Research Groups > Gastroenterology and Gut Biology Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Depositing User:	Pure Connector
Date Deposited:	10 Jun 2014 20:42
Last Modified:	28 Mar 2025 05:51
URI:	https://ueaeprints.uea.ac.uk/id/eprint/47666
DOI:	10.2390/biecoll-jib-2011-160

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