iTools and the complete details about its specifications, usage and interfaces are available at the iTools web page. We demonstrate several applications of iTools as a framework for integrated bioinformatics. iTools employs a decentralized, portable, scalable and lightweight framework for long-term resource management. iTools is an open source project both in terms of the source code development as well as its meta-data content. The first one is based on an ontology of computational biology resources, and the second one is derived from hyperbolic projections of manifolds or complex structures onto planar discs. We propose two ways to browse and display the iTools dynamic collection of resources. Investigators or computer programs may utilize these interfaces to search, compare, expand, revise and mine meta-data descriptions of existent computational biology resources. iTools includes human and machine interfaces to its resource meta-data repository. A large number of resources are already iTools-accessible to the community and this infrastructure is rapidly growing. iTools provides a system for classification, categorization and integration of different computational biology resources across space-and-time scales, biomedical problems, computational infrastructures and mathematical foundations. The iTools design, implementation and resource meta-data content reflect the broad research, computational, applied and scientific expertise available at the seven National Centers for Biomedical Computing. Specifically, iTools stores information about three types of resources-data, software tools and web-services.
We describe a new infrastructure, iTools, for managing the query, traversal and comparison of diverse computational biology resources. There is an explosion in algorithms and tools for computational biology, which makes it difficult for biologists to find, compare and integrate such resources. Date Published:2008 May 28 Abstract:The advancement of the computational biology field hinges on progress in three fundamental directions-the development of new computational algorithms, the availability of informatics resource management infrastructures and the capability of tools to interoperate and synergize.
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