In this research, we have developed and implemented a job scheduler framework with work steal mechanism for large scale gene regulatory networks analysis. The analysis applications usually execute on a distributed and parallel computational environment. Because a whole of human genes is a approximate 20,000, therefore a human gene regulatory networks analysis needs large scale computational environment. So, our products aims to reduce a calculation time of gene regulatory networks analysis using work steal mechanism. A work steal mechanism is able to cut off a useless network estimation.
We also have modified and improved a network visualization application for large scale gene regulatory networks on a high resolution visualization system (i.e. tiled display wall).
