Linked Life Data

18509477

Source:http://linkedlifedata.com/resource/pubmed/id/18509477

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2008-5-29
pubmed:abstractText
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 makes it difficult for biologists to find, compare and integrate such resources. We describe a new infrastructure, iTools, for managing the query, traversal and comparison of diverse computational biology resources. Specifically, iTools stores information about three types of resources--data, software tools and web-services. 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 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. A large number of resources 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 development 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 bioinformatics. iTools and the complete details about its specifications, usage and interfaces are available at the iTools web page http://iTools.ccb.ucla.edu.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-11753382, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-12511062, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-12519946, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-12880830, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-15215342, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-15488412, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-15670695, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-16061938, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-16738704, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-16943631, http://linkedlifedata.com/resource/pubmed/commentcorrection/18509477-9253604
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1932-6203
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e2265
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
iTools: a framework for classification, categorization and integration of computational biology resources.
pubmed:affiliation
Center for Computational Biology, University of California Los Angeles, Los Angeles, California, United States of America.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural