| Literature DB >> 21778530 |
Ke Lin1, 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.
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.Entities:
Mesh：
Year: 2011 PMID： 21778530 DOI： 10.2390/biecoll-jib-2011-160
Source DB: PubMed Journal: J Integr Bioinform ISSN： 1613-4516