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I had the plan for a long time to develop a software application for scientists to discover gene expression profiles in an easy way. This dream came true because of three important things that happened recently. At first, microarray technology had become mature and reliable. Large amounts of microarray expression data has accumulated in public repositories. Secondly, Web 2.0 technology also becomes more and more popular. Many free and powerful web 2.0 libraries/tools become available. Therefore, web developers can find easy solutions for complex web diplays. Third, cheap multiple-core computer processors becomes availble so that complex bioinformatic computations can be completed in an affordable PC. Therefore, I began to put complex and large amount of microarray expression data together with Web 2.0 technology onto a multiple-core PC so that scientists can discover gene expression profiles from online free web service. This is the idea of Gene Expression Browser (GEB).
GEB is built on the infrastructures of open source and freeware. As a software developer, I want to express my respects to the developers in Open source community. Their excellent works provide a solid foundation for GEB. I also want to thank my former colleagues who have provided important suggestions and feedbacks during GEB development. I can always get encourages and helps from my wife and friends when I have difficulties in the development.
I salute following open source and freeware heroes (alphabet order):
Ming Zhang Ph.D.
Web & Application Developer