Systems Biology BioSignature Discovery Services
Systems Biology Modeling service models biological responses to diseases and treatments for biological discovery and for pre-symptomatic diagnostics. Models are custom-built based on your investigative objectives.
Gene Regulatory Structure Learning Services
An alternate and newly prototyped system model learning approach has been recently developed by Seralogix. Our algorithmic innovation incorporates biological prior knowledge and multi-perturbation data, such as gene knockdown or multi-conditional experiments, with our dynamic Bayesian technology for enabling a network learning approach that is not limited to prior pathway networks. This service is ideal for large scale gene knockout time-series experiments in which the discovery of gene relationships and biological process association is the experimental objective. The approach is described briefly in the systems biology computational approach.