Computational Inference of Regulatory Pathways in Microbes
One of the challenging problems in post-genomic era is to computationally infer the regulatory pathways of a less-studied organism. We have previously developed a computational protocol for inference of regulatory and signaling pathways in less-studied microbes, through mining high-throughput biological data of various types. Using a similar protocol we have constructed the nitrogen assimilation pathway in cyanobacteria Synechoccocus sp. WH8102. A considerable amount of high confident knowledge of this pathway were derived.