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The anatomy of phenotype ontologies: principles, properties and applications
- Source :
- Briefings in Bioinformatics
- Publication Year :
- 2017
- Publisher :
- Oxford University Press, 2017.
-
Abstract
- The past decade has seen an explosion in the collection of genotype data in domains as diverse as medicine, ecology, livestock and plant breeding. Along with this comes the challenge of dealing with the related phenotype data, which is not only large but also highly multidimensional. Computational analysis of phenotypes has therefore become critical for our ability to understand the biological meaning of genomic data in the biological sciences. At the heart of computational phenotype analysis are the phenotype ontologies. A large number of these ontologies have been developed across many domains, and we are now at a point where the knowledge captured in the structure of these ontologies can be used for the integration and analysis of large interrelated data sets. The Phenotype And Trait Ontology framework provides a method for formal definitions of phenotypes and associated data sets and has proved to be key to our ability to develop methods for the integration and analysis of phenotype data. Here, we describe the development and products of the ontological approach to phenotype capture, the formal content of phenotype ontologies and how their content can be used computationally.
- Subjects :
- 0301 basic medicine
Paper
PATO
Computer science
phenotype
Ecology (disciplines)
Ontology (information science)
computer.software_genre
ComputingMethodologies_ARTIFICIALINTELLIGENCE
03 medical and health sciences
0302 clinical medicine
Animals
Humans
ontology
Molecular Biology
Semantic Web
data integration
Structure (mathematical logic)
Information retrieval
Ecology
Computational Biology
Biological Ontologies
Biodiversity
Data science
Phenotype
Biological Evolution
030104 developmental biology
ComputingMethodologies_PATTERNRECOGNITION
Gene Ontology
Animals, Domestic
Trait
computer
030217 neurology & neurosurgery
Information Systems
Data integration
Subjects
Details
- Language :
- English
- ISSN :
- 14774054 and 14675463
- Volume :
- 19
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....96f14b1f08be0f5c6c52a50966f4397e