Disease and Phenotype Track
There will be two tasks for this track which will comprise of pairwise alignment of:
The first task is important for translational science where human phenotype includes inherited diseases and mammalian phenotype ontology which is based on roadents as a model mammalian organism for many laboratory studies, including gene knock out. The second task includes representation of rare human diseases in both ontologies which are of fundamental importance for understanding how genetic variation can cause disease. Currently, such mappings are mostly curated by bioinformatics and disease experts who would benefit from automation supported by implementation of ontology matching algorithms into their workflows.
We have extracted a "baseline" reference alignments for the track based on the available BioPortal mappings. Most of the BioPortal mappings are automatically generated by the LOOM system; therefore this BioPortal-based reference alignment should only be considered as a baseline since it is incomplete or may contain erroneous mappings.
The complete datasets for the OAEI 2016 campaign can be downloaded as a zip file (OAEI_phenotype_dataset_baseline.zip [7Mb]) or accessed via the SEALS platform (see dataset identifiers below).
The Pistoia Alliance will sponsor a prize of $7,500 for the winner of this track as an incentive for participation.
The evaluation of the Disease and Phenotype Track will be run with support of the SEALS infrastructure. This requires that you wrap your matching system in a way that allows us to execute it using the SEALS client (see OAEI 2016 evaluation details).
Required input for the SEALS OMT client:
This task consists of matching the HP (11,828 entities) and MP (11,752 entities) ontologies. The BioPortal-based alignment contains 639 mappings.
This task consists of matching the DOID (9,301 entities) and ORDO (12,974) ontologies. The BioPortal-based alignment contains 1,018 mappings.