Abstract: Method and system for managing and evaluating life science data. Life Science data is placed in a knowledge base, that may be used for a variety of analysis tasks. Creating a knowledge base from the life science data involves generating two or more nodes indicative of life science data, assigning to one or more pairs of nodes a representation descriptor that corresponds to a relationship between the nodes, and assembling the nodes and the relationship descriptor into a database, such that at least one of the nodes is joined to another node by a representation descriptor. In some embodiments, the representation descriptor includes a case frame that describes the relationships between elements of life science data.

Abstract: Method and system for managing and evaluating life science data. Life Science data is placed in a knowledge base, that may be used for a variety of analysis tasks. Creating a knowledge base from the life science data involves generating two or more nodes indicative of life science data, assigning to one or more pairs of nodes a representation descriptor that corresponds to a relationship between the nodes, and assembling the nodes and the relationship descriptor into a database, such that at least one of the nodes is joined to another node by a representation descriptor. In some embodiments, the representation descriptor includes a case frame that describes the relationships between elements of life science data.

Abstract: Disclosed are methods, systems and apparatus for constructing assemblies of biological knowledge constituting a biological knowledge base, and for subsetting and transforming life sciences-related data and information into biological models to facilitate computation and electronic reasoning on biological information. A subset of data is extracted from a global knowledge base or repository to reconstruct a more specialized sub-knowledge base or assembly designed specifically for the purpose at hand. Assemblies generated by the invention permit selection and rational organization of seemingly diverse data into a model of any selected biological system, as defined by any desired biological criteria. These assemblies can be mined easily and can be logically reasoned with great productivity and efficiency.