TY - JOUR
T1 - iTools
T2 - A framework for classification, categorization and integration of computational biology resources
AU - Dinov, Ivon D.
AU - Rubin, Daniel
AU - Lorensen, William
AU - Dugan, Jonathan
AU - Ma, Jeff
AU - Murphy, Shawn
AU - Kirschner, Beth
AU - Bug, William
AU - Sherman, Michael
AU - Floratos, Aris
AU - Kennedy, David
AU - Jagadish, H. V.
AU - Schmidt, Jeanette
AU - Athey, Brian
AU - Califano, Andrea
AU - Musen, Mark
AU - Altman, Russ
AU - Kikinis, Ron
AU - Kohane, Isaac
AU - Delp, Scott
AU - Parker, D. Scott
AU - Toga, Arthur W.
PY - 2008/5/28
Y1 - 2008/5/28
N2 - 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. There is an explosion in algorithms and tools for computational biology, which make it difficult for biologists to find, compare and integrate such resources. We describe a new infrastructure, iTools, for managing the query, traversal and comparisons of diverse computational biology resources. Specifically, iTools stores information about three types of resources-data, software tools and web-sevices. 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. iTools provide a system for classification, categorization and integration of different computational biology resources across space-and-time scales, biomedical problems, computational infrastructures and mathematical foundations. A large number of resource are already iTools-accessible to the community and this infrastructure is rapidly growing. iTools includes human and machine interfaces to its resource meta-data repository. Investigators or computer programs may utilize these interfaces to search, compare, expand, revise and mine meta-data descriptions of existent computational biology resources. We propose two ways to browse and display the iTools dynamic collection of resources. 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. iTools is an open source project both in terms of the source code developments as well as its meta-data content. iTools employs a decentralized, portable, scalable and lightweight framework for long-term resource management. We demonstrate several applications of iTools as a framework for integrated bionformatics. iTools and the complete details about its specifications, usage and interfaces are availabe at the iTool web page http://iTools.ccb.ucla.edu.
AB - 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. There is an explosion in algorithms and tools for computational biology, which make it difficult for biologists to find, compare and integrate such resources. We describe a new infrastructure, iTools, for managing the query, traversal and comparisons of diverse computational biology resources. Specifically, iTools stores information about three types of resources-data, software tools and web-sevices. 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. iTools provide a system for classification, categorization and integration of different computational biology resources across space-and-time scales, biomedical problems, computational infrastructures and mathematical foundations. A large number of resource are already iTools-accessible to the community and this infrastructure is rapidly growing. iTools includes human and machine interfaces to its resource meta-data repository. Investigators or computer programs may utilize these interfaces to search, compare, expand, revise and mine meta-data descriptions of existent computational biology resources. We propose two ways to browse and display the iTools dynamic collection of resources. 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. iTools is an open source project both in terms of the source code developments as well as its meta-data content. iTools employs a decentralized, portable, scalable and lightweight framework for long-term resource management. We demonstrate several applications of iTools as a framework for integrated bionformatics. iTools and the complete details about its specifications, usage and interfaces are availabe at the iTool web page http://iTools.ccb.ucla.edu.
UR - http://www.scopus.com/inward/record.url?scp=48249128324&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0002265
DO - 10.1371/journal.pone.0002265
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C2 - 18509477
AN - SCOPUS:48249128324
SN - 1932-6203
VL - 3
JO - PLoS ONE
JF - PLoS ONE
IS - 5
M1 - e2265
ER -