loading...| Ontology Id | 1061 |
|---|---|
| Acronym | SOPHARM |
| Visibility | Public |
| BioPortal PURL | http://purl.bioontology.org/ontology/SOPHARM |
| Status | |
| Format | OWL |
| Categories |
Genomic and Proteomic
|
| Groups | |
| Contact | Adrien Coulet, adrien.coulet@loria.fr |
| Home Page | http://www.loria.fr/~coulet/sopharm2.0_description.php |
| Publications Page | http://hal.inria.fr/inria-00089824/en/ |
| Documentation Page | http://www.loria.fr/~coulet/ontology/sopharm/version2.0/foundry_requirements.php |
| Description | SO-Pharm (Suggested Ontology for Pharmacogenomics) is a domain ontology implemented in OWL-DL, which proposes a formal description of pharmacogenomic knowledge. SO-Pharm articulates different ontologies that represent complementary sub-domains of pharmacogenomics, i.e. related to genotype, phenotype, drugs, and clinical trials. SO-Pharm enables to represent pharmacogenomic relationships between a drug, a genomic variation and a phenotype trait. In addition, it enables to represent patient and more largely panel included in trials, and populations. SO-Pharm enables the representation of measured items on this patients such as results from the observation of a phenotype trait or of genomic variations. SO-Pharm supports knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics. SO-Pharm is designed to facilitate data integration and knowledge discovery in pharmacogenomics. In addition it provides a consistent articulation of ontologies of pharmacogenomic sub-domains. |
| Version | Release Date | Upload Date | Downloads |
|---|---|---|---|
| 2.1.2 | 02/06/2009 | 02/06/2009 | Ontology / Diff |
| 2.1.2 | 01/21/2009 | 01/21/2009 | Ontology |
| 2.1 | 11/26/2008 | 11/26/2008 | Ontology |
| 2.0 alpha | 08/21/2007 | 08/22/2007 | Ontology |
| Project | Description | People | Institution |
|---|---|---|---|
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NCBO Resource Index
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The NCBO Resource Web service is a system for ontology based a...
The NCBO Resource Web service is a system for ontology based annotation and indexing of biomedical data; the key functionality of this system is to enable users to locate biomedical data resources related to particular ontology concepts. The annotations are generated using the NCBO Annotator and presented through integration with BioPortal, enabling researchers to search for biomedical resources associated (annotated) with specific ontology terms. The NCBO Resources web service uses a concept recognizer (currently provided by the National Center for Integrative Biomedical Informatics, University of Michigan) to produce a set of annotations and expand these using ontology is_a relations in the ontology.
The system's indexing workflow processes the text metadata of diverse resource elements such as gene expression data sets, descriptions of radiology images, clinical trial reports, and PubMed article abstracts to annotate and index them with concepts from appropriate ontologies. Researchers can then search biomedical data sources using ontology concepts.
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NCBO
NCBO
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Stanford University |
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OntoCAT
|
High level abstraction API (Java/REST/R) for interacting with o...
High level abstraction API (Java/REST/R) for interacting with ontology resources including local ontology files in standard OWL and OBO formats (via OWL API) and public ontology repositories: EBI Ontology Lookup Service (OLS) and NCBO BioPortal.
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Tomasz Adamus...
Tomasz Adamusiak, Helen Parkinson, Natalja Kurbatova, Misha Kapushesky, Morris Swertz
|
EMBL-EBI, University of Groningen |
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OntoMaton
|
OntoMaton is a google spreadsheet application allowing for onto...
OntoMaton is a google spreadsheet application allowing for ontology search and tagging directly within google spreadsheets.
More information can be found here: https://github.com/ISA-tools/OntoMaton
|
ISA team
ISA team
|
Oxford University |
|
NCBO Annotator
|
A Web service that tags free text with ontology concepts. NCBO ...
A Web service that tags free text with ontology concepts. NCBO uses these Web services to annotate resources in the NCBO Resource Index to create an ontology index of these resources. This Web service can be accessed through BioPortal or used directly in your software.
Currently, the annotation workflow is based on syntactic concept recognition (using concept names and synonyms) and on a set of semantic expansion algorithms that leverage the semantics in ontologies (e.g., is_a relations). Our service methodology leverages ontologies to create annotations of raw text and returns them using semantic web standards.
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NCBO
NCBO
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Stanford University |
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