There is a plethora of disease ontologies available, all potentially useful for the annotation of biological datasets. We define seven desirable features for such ontologies and examine whether or not these features are supported by eleven disease ontologies. The four ontologies most closely aligned with our desiderata are Disease Ontology, SNOMED CT, NCI thesaurus and UMLS
AbstractIntroductionA common bottleneck during ontology evaluation is knowledge acquisition from dom...
In biomedicine, the explosion of textual knowledge sources has introduced formidable challenges for ...
In this chapter we review the uses of ontologies within bioinformatics and neuroinformatics and the ...
There is a plethora of disease ontologies available, all potentially useful for the annotation of bi...
There is a plethora of disease ontologies available, all potentially useful for the annotation of bi...
Manual curation of biomedical data is highly accurate but time consuming, and does not scale with th...
Metarel allows the creation of millions of relational inferences in the RDF Knowledge Base BioGatewa...
AbstractA wealth of knowledge valuable to the translational research scientist is contained within t...
Presentation at the Biocuration 2018 conference: http://biocuration2018.cn/biocuration2018/<div><br>...
The developers of the Ontology of Biomedical Investigations (OBI) primarily use Protégé fo...
Models of epidemics allow decision makers to explore the consequences of different interventions. Th...
Abstract. Objectives: Biomedical ontologies exist to serve integration of clinical and experimental ...
The goal of the OBO (Open Biomedical Ontologies) Foundry initiative is to create and maintain an evo...
The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the ...
Production and distribution of scientific information has grown exponentially in the recent years. P...
AbstractIntroductionA common bottleneck during ontology evaluation is knowledge acquisition from dom...
In biomedicine, the explosion of textual knowledge sources has introduced formidable challenges for ...
In this chapter we review the uses of ontologies within bioinformatics and neuroinformatics and the ...
There is a plethora of disease ontologies available, all potentially useful for the annotation of bi...
There is a plethora of disease ontologies available, all potentially useful for the annotation of bi...
Manual curation of biomedical data is highly accurate but time consuming, and does not scale with th...
Metarel allows the creation of millions of relational inferences in the RDF Knowledge Base BioGatewa...
AbstractA wealth of knowledge valuable to the translational research scientist is contained within t...
Presentation at the Biocuration 2018 conference: http://biocuration2018.cn/biocuration2018/<div><br>...
The developers of the Ontology of Biomedical Investigations (OBI) primarily use Protégé fo...
Models of epidemics allow decision makers to explore the consequences of different interventions. Th...
Abstract. Objectives: Biomedical ontologies exist to serve integration of clinical and experimental ...
The goal of the OBO (Open Biomedical Ontologies) Foundry initiative is to create and maintain an evo...
The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the ...
Production and distribution of scientific information has grown exponentially in the recent years. P...
AbstractIntroductionA common bottleneck during ontology evaluation is knowledge acquisition from dom...
In biomedicine, the explosion of textual knowledge sources has introduced formidable challenges for ...
In this chapter we review the uses of ontologies within bioinformatics and neuroinformatics and the ...