Integration Challenges in Gene Expression Data Management
Victor M. Markowitz, John Campbell, l-Min A. Chen, Anthony Kosky, Krishna Palaniappan and Thodoros Topaloglou
DNA microarrays have emerged as the leading technology for measuring gene expression, primarily because of their high throughput. A single microarray experiment provides measurements for the messenger RNA (mRNA) transcription level for tens of thousands of genes in parallel [1]. While this technology opens new opportunities for functional genomics and drug discovery applications, it also presents new bioinformatics and data management challenges arising from the need to capture, organize, interpret, and archive vast amounts of experimental data. Furthermore, to support ...
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