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Co-annotated mouse--human datasets

Authors :
Parkinson, Helen
Conte, Nathalie
McMurry, Julie
Ison, Jon
Burdett, Tony
Vasant, Drashtti
Raess, Michael
Gormanns, Philipp
Neff, Frauke
Bordag, Natalie
Müller, Heimo
Zatloukal, Kurt
Luchinat, Claudio
Tenori, Leonardo
Publication Year :
2015
Publisher :
Zenodo, 2015.

Abstract

In order to develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. The mined terms were curated and temporally categorised by expert clinicians/diabetologists. The terms were represented as an ontology in OWL format and the utility of the ontology in the annotation of data resources and partner data sets was evaluated. Using the ontology developed here enabled the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ba3f1a927ad4adec692cb2eb52e07401
Full Text :
https://doi.org/10.5281/zenodo.14130