Ontology for Biomarkers of Clinical Interest

A data model for managing information about chemical entities, ranging from atoms through molecules to complex mixtures.

The covid-19 epidemiology and monitoring ontology (cemo) provides a common ontological model to make epidemiological quantitative data for monitoring the covid-19 outbreak machine-readable and interoperable to facilitate its exchange, integration and analysis, to eventually support evidence-based rapid response.

This ontology models classes and relationships describing deep learning networks, their component layers and activation functions, as well as potential biases.

The Chromosome Ontology is an automatically derived ontology of chromosomes and chromosome parts.

Babelon is a simple standard for managing ontology translations and language profiles. Profiles are managed as TSV files, see for example https://github.com/obophenotype/hpo-translations/tree/main/babelon. The goal of Babelon as a data model and vocabulary is to capture the minimum data required to capture important metadata such as confidence and precision of translation.