Abstract
The MEM web resource allows users to search for co-expressed genes across all microarray datasets in the ArrayExpress database.
Highlights
During the last decade, the gene expression microarrays have become a standard tool in studying a large variety of biological questions [1]
We demonstrate the power of the multi experiment matrix (MEM) toolset by analyzing the genes that show strong coexpression patterns with NANOG across multiple datasets
With the development of the MEM resource we have solved many of the technical challenges and aim to make high-throughput coexpression mining accessible for a larger audience
Summary
The gene expression microarrays have become a standard tool in studying a large variety of biological questions [1]. Integrating data from different experiments widens the spectrum of biological conditions and increases the power to find subtler effects. Coexpression is one of the central ideas in gene expression analysis. Multi-experiment coexpression analysis can be a labourintensive and computationally challenging task. The complexity of multi-experiment microarray analysis is likely its main limitation, as researchers often lack the time and resource to take on such a task. Ization method helps highlights datasets with highest coexpression to input gene and helps the user distinguish evidence with poor or negative correlation. With MEM we aim to make multi-experiment coexpression analysis accessible to a wider community of researchers
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