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Abstract

Methods are provided to define and describe the creation, architecture and embodiment of Intelligent Molecular Object data ('IMO', hereinafter 'Intelligent Object'). The Intelligent Object is a software product invented to enable unified user presentation, accessing, routing and functionally integrated processing of potentially (but not necessarily) diverse data. Each Intelligent Object provides a unified, interactive user interface to uniquely identified, functionally integrated data from potentially heterogeneous, data content from potentially diverse database back-ends and/or data resources. Said data content includes but is not limited to data such as gene sequence data, protein expression data, 2D gel electrophoresis data, chemical structure data, bio-assay data, image data, text data, audio data or other data from an extensible variety of data types and structures. Intelligent Object technology improves data usability and rate of access to query-relevant elements, attributes and other meta-data, and provides means for functional multidimensional analysis. The technology provides real-time integrated access to previously incompatible data, including synchronized access to off-line and/or latent response data and significantly reduces response time for queries of large datasets. The technology provides data management and access across diverse hardware and software platforms and research applications. The technology secures data for global network use and exchange, and provides extensible options, including ownership management, data integrity, use-tracking, and selective access. Additionally, Intelligent Object handling and storage technology for customization, analysis, and exchange is provided. Methods including software processes, sets of instructions, procedural rules, and look-up tables are provided to define and describe: Intelligent Object creation; unified functional presentation; unique data object, content, user and session identification; user and session authentication and permission for data access; dynamic root data and meta-data routing of multidimensional, vectorized content information; data logging, auditing, status management and validation state alerting; raw data matrix and matrix structure definition; meta-data indexing and query optimization; functional content and attribute definition for database or application access and routing for said database or application; direct data-to-data information interchange; graphical data viewing and analysis; and text annotation integration for diversified data in networked Life Sciences applications environments.

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First Claim