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Gilberto Fragoso

Researcher at National Institutes of Health

Publications -  31
Citations -  2250

Gilberto Fragoso is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Ontology (information science) & Thesaurus (information retrieval). The author has an hindex of 20, co-authored 31 publications receiving 2109 citations. Previous affiliations of Gilberto Fragoso include Government of the United States of America.

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The National Cancer Institute's Thesaurus and Ontology

TL;DR: The NCI Thysaurus is a public domain description logic-based terminology that is deep and complex compared to most broad clinical vocabularies, implementing rich semantic interrelationships between the nodes of its taxonomies.
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The Ontology for Biomedical Investigations

TL;DR: The state of OBI and several applications that are using it are described, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources.
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The MGED Ontology: a resource for semantics-based description of microarray experiments

TL;DR: The MGED Ontology was developed to provide terms for annotating experiments in line with the MIAME guidelines and provides a framework to reference terms in other ontologies and therefore facilitates the use of ontologies in microarray data annotation.
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Nucleosome positioning on the MMTV LTR results from the frequency-biased occupancy of multiple frames.

TL;DR: The positions and relative occupancies of nucleosome frames, in either the B or the A region, did not change when the promoter was activated with dexamethasone, suggesting the presence of a boundary constraint in the A-B linker.
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caCORE: a common infrastructure for cancer informatics.

TL;DR: An interconnected set of software and services called caCORE, which implements an object-oriented model of the biomedical domain and provides Java, Simple Object Access Protocol and HTTP-XML application programming interfaces, has been used to develop scientific applications that bring together data from distinct genomic and clinical science sources.