Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
Background: Normal mode analysis (NMA) has become the method of choice to investigate the slowest motions in macromolecular systems. NMA is especially useful for large biomolecula...
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
— We propose a novel framework for building a distributed data acquisition and monitoring system. Our novel framework is mainly based on XML leverages and OPC (Openness, Producti...
The increasing power of modern computers steadily opens up new application domains for advanced data processing such as engineering and knowledge-based applications. To meet their...