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|Alternative name||System for Ontology-based Re-coding and Technical Annotation|
|Interface||Web user interface|
|Restrictions to use||None|
|License||GNU General Public License version 3.0|
- person_outline Morris Swertz
Publication for System for Ontology-based Re-coding and Technical Annotation
Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer
[…] e mapped to terms from more than one ontology, optimising its expressiveness and enriching the way it can be used in future research environments. In this step, semiautomated annotation tools such as SORTA  and EGAS  along human curation experts play an important role for the annotation of biomedical data (e.g., phenotypes, diseases).The second step of the pipeline consists in the configuratio […]
MetaSRA: normalized human sample specific metadata for the Sequence Read Archive
[…] rms that incorrectly describe the sample. We note that the error rate is simply 1−precision. The metrics are demonstrated in . With these metrics, we compared our pipeline to the BioPortal Annotator, SORTA and ZOOMA across all ontologies (). Compared to these methods, our pipeline has a low error rate while maintaining a competitive recall. For example, although the ZOOMA pipeline scores a slightl […]
MOLGENIS/connect: a system for semi automatic integration of heterogeneous phenotype data with applications in biobanks
[…] al cases that require us to add new rules. We would like to allow users to define custom rules for matching categories in the database. For matching string-type data values, we have developed a tool (SORTA) to semi-automatically recode the values based on the selected coding systems or ontologies, which we plan to incorporate in the near future (). […]
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