MADMAX - Management and analysis database for multiple ~omics experiments

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 J Hooiveld, Guusje Bonnema, Richard G F Visser, Michael R Muller, Jack A M Leunissen

Research output: Contribution to journalArticlepeer-review

119 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)160
JournalJournal of Integrative Bioinformatics
Volume8
Issue number2
DOIs
Publication statusPublished - 2011

Keywords

  • Brassica rapa
  • Databases, Genetic
  • Genomics
  • Internet
  • Metabolomics
  • Software
  • User-Computer Interface

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