MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation

<p>Abstract</p> <p>Background</p> <p>The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polymorphisms in DNA and genome-wide analysis of mRNA concentrations. L...

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Bibliographic Details
Main Authors: Descombes Patrick, Demougin Philippe, Schaad Olivier, Hermida Leandro, Primig Michael
Format: Article
Language:English
Published: BMC 2006-04-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/190
Description
Summary:<p>Abstract</p> <p>Background</p> <p>The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polymorphisms in DNA and genome-wide analysis of mRNA concentrations. Local array data management solutions are instrumental for efficient processing of the results and for subsequent uploading of data and annotations to a global certified data repository at the EBI (ArrayExpress) or the NCBI (GeneOmnibus).</p> <p>Description</p> <p>To facilitate and accelerate annotation of high-throughput expression profiling experiments, the Microarray Information Management and Annotation System (MIMAS) was developed. The system is fully compliant with the Minimal Information About a Microarray Experiment (MIAME) convention. MIMAS provides life scientists with a highly flexible and focused GeneChip data storage and annotation platform essential for subsequent analysis and interpretation of experimental results with clustering and mining tools. The system software can be downloaded for academic use upon request.</p> <p>Conclusion</p> <p>MIMAS implements a novel concept for nation-wide GeneChip data management whereby a network of facilities is centered on one data node directly connected to the European certified public microarray data repository located at the EBI. The solution proposed may serve as a prototype approach to array data management between research institutes organized in a consortium.</p>
ISSN:1471-2105