A Database-based Application for Management and Statistical Analysis of High-throughput Gene Expression Data

Background Gene DNA sequences identified by many genome projects and improvements of nanotechnology have made high-throughput experiments a powerful tool to study the differential expression of thousands of genes at once. Nevertheless, these experiments produce a huge amount of data, quantifying the expression level of each of thousand genes in a number of different tissue types and conditions, presenting variability of gene expression levels and noise, which require specific data analysis. The different types of arrays available for highthroughput gene expression experiments, the large amount of spotted genes in a single array experiment, the number of arrays used in replicate experiments, and the analyses required for the massive data produced, demand an adequate software framework helping investigators uncovering new biological information.