资 源 简 介
Understanding the encoding and propagation of information by biochemical reaction networks and the relationship of such information processing properties to modular network structure is of fundamental importance in the study of cell signalling and regulation. However, a rigorous, automated approach for general biochemical networks has not been available, and high-throughput analysis has therefore been out of reach.
MIDIA is a user-friendly, extensible R package that performs automated analysis of how information is processed by biochemical networks. An important component is the algorithm’s ability to identify
exact network decompositions based on both the mass action kinetics and informational properties of the network. These modularisations are visualised using a tree structure from which important dynamic
conditional independence properties can be directly read. Only partial stoichiometric information needs to be used as input to MIDIA, and neither simulations nor knowled
