MADMAX - Management and analysis database for multiple ~omics experiments
Citations Over TimeTop 22% of 2011 papers
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.
Related Papers
- → Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles(2005)55,457 cited
- → Exploration, normalization, and summaries of high density oligonucleotide array probe level data(2003)10,702 cited
- → A comparison of normalization methods for high densityoligonucleotide array data based on variance and bias(2003)8,399 cited
- → Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data(2005)1,839 cited
- → Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments(2006)264 cited