arrow

From NeuroLex

Jump to: navigation, search



Resource:PhenoGO

Name: Resource:PhenoGO
Description:

PhenoGO is a computed database designed for high throughput mining that provides phenotypic and experimental context, such as the cell type, disease, tissue and organ to existing annotations between gene products and Gene Ontology (GO) terms as specified in the Gene Ontology Annotations (GOA) for multiple model organisms. For example of mined derivative, see "Discovery of Protein Interaction Networks Shared by Diseases. Pac Symp Biocomp 12:76-87(2007)

Phenotypic and Experimental (P&E) contexts to identifiers are computationally mapped to general biological ontologies, including: the Cell Ontology (CO), phenotypes from the Unified Medical Language System (UMLS), species from Taxonomy of the National Center for Biotechnology Information (NCBI) taxonomy, specialized ontologies such as Mammalian Phenotype Ontology (MP) and Mouse Anatomy (MA).
Synonym(s): PhenoGO
Is part of: University of Chicago; Illinois; USA
Has role: web accessible database
Keywords: gene, anatomy, biotechnology, cell, disease, mammalian, medical, model, mouse, organ, organism, phenotype, phenotypic, protein, taxonomy, tissue, ontology
Super-category: Resource
URL: http://www.phenogo.org
Id: nif-0000-33113
Link to OWL / RDF: Download this content as OWL/RDF

Curation status: Uncurated

This resource will be curated within 7 days.

For Resource Owners:
After the resource is curated, you may create a sitemap, which will help keep your registry description up-to-date and inform search engines about your resource.

Note: For a new resource, the website's URL must first be verified by a NIF curator before you may proceed.

Learn more about what NIF can do for your resource.
Proudly proclaim your inclusion in NIF by displaying the "Registered with NIF" button on your site. Please login to create the sitemap. (top right)

Notes

This page uses this default form:Resource

Contributors

Aarnaud, Ccdbuser, Nifbot2, Zaidaziz



bookmark
Facts about Resource:PhenoGORDF feed
Comment<?xml version="1.0&quo <?xml version="1.0" encoding="UTF-8"?>

<disco xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" format="discoToNifRegistry.xsd" version="1.0" version-date="2009-07-30">

<resource blueprint="true" disco_id="229" full_name="PhenoGO adds phenotypic contextual information to existing associations between gene products and Gene Ontology (GO) terms as specified in GO Annotations (GOA). PhenoGO utilizes an existing Natural Language Processing (NLP) system, called BioMedLEE, an existing knowledge-based phenotype organizer system (PhenOS) in conjunction with MeSH indexing and established biomedical ontologies. The system also encodes the context to identifiers that are associated in different biomedical ontologies, including the UMLS, Cell Ontology, Mouse Anatomy, NCBI taxonomy, GO, and Mammalian Phenotype Ontology. In addition, PhenoGO was evaluated for coding of anatomical and cellular information and assigning the coded phenotypes to the correct GOA; results obtained show that PhenoGO has a precision of 91 and recall of 92, demonstrating that the PhenoGO NLP system can accurately encode a large number of anatomical and cellular ontologies to GO annotations. The PhenoGO Database may be accessed at www.phenogo.org." last-discoed="2009-08-29" nif_id="new" short_name="PhenoGO" url="http://www.phenogo.org">
<parent_organization full_name="MAGNet" />
<admin_contact email="" name="Yves Lussier and Carol Friedman are the principal investigators. The programmers are Jianrong Li, Lee Sam, and Tara Borlawsky" phone="" />
<comment type="desc:Version_Information" />
<comment type="desc:version_information" />
<comment type="desc:keywords">Phenotypic integration, computational phenotypes</comment>
<keyword type="license" value="n/a" />
<keyword type="release_date" value="Feb 2006" />
<keyword type="version" value="Version 2" />
<keyword ont_term_id="Natural_Language_Processing" ont_url="http://bioontology.org/ontologies/BiomedicalResourceOntology.owl" ontology="BRO" type="data_type" value="Natural_Language_Processing" />
</resource>

</disco>
mp;gt;

</disco>
DefiningCitationhttp://www.phenogo.org  +
Definition

PhenoGO is a computed database des
PhenoGO is a computed database designed for high throughput mining that provides phenotypic and experimental context, such as the cell type, disease, tissue and organ to existing annotations between gene products and Gene Ontology (GO) terms as specified in the Gene Ontology Annotations (GOA) for multiple model organisms. For example of mined derivative, see "Discovery of Protein Interaction Networks Shared by Diseases. Pac Symp Biocomp 12:76-87(2007)

Phenotypic and Experimental (P&E) contexts to identifiers are computationally mapped to general biological ontologies, including: the Cell Ontology (CO), phenotypes from the Unified Medical Language System (UMLS), species from Taxonomy of the National Center for Biotechnology Information (NCBI) taxonomy, specialized ontologies such as Mammalian Phenotype Ontology (MP) and Mouse Anatomy (MA).
ntology (MP) and Mouse Anatomy (MA).
Has roleWeb accessible database  +
Idnif-0000-33113  +
Is part ofUniversity of Chicago; Illinois; USA  +
KeywordsGene  +, Anatomy  +, Biotechnology  +, Cell  +, Disease  +, Mammalian  +, Medical  +, Model  +, Mouse  +, Organ  +, Organism  +, Phenotype  +, Phenotypic  +, Protein  +, Taxonomy  +, Tissue  +, and Ontology  +
LabelResource:PhenoGO  +
ModifiedDate9 June 2011  +
Page has default formThis property is a special property in this wiki.Resource  +
SuperCategoryResource  +
SynonymPhenoGO  +