Bioinformatics operations, data types, formats, identifiers and topics
EDAM is a simple ontology of well established, familiar concepts that are prevalent within bioinformatics, including types of data and data identifiers, data formats, operations and topics. EDAM provides a set of terms with synonyms and definitions - organised into an intuitive hierarchy for convenient use.
EDAM_data http://edamontology.org/data_ "EDAM types of data"
EDAM_format http://edamontology.org/format_ "EDAM data formats"
EDAM http://edamontology.org/ "EDAM relations and concept properties"
EDAM_operation http://edamontology.org/operation_ "EDAM operations"
EDAM_topic http://edamontology.org/topic_ "EDAM topics"
topics "EDAM topics"
operations "EDAM operations"
data "EDAM types of data"
formats "EDAM data formats"
concept_properties "EDAM concept properties"
identifiers "EDAM types of identifiers"
relations "EDAM relations"
30.12.2017 14:14 GMT
EDAM editors: Jon Ison, Matus Kalas, Herve Menager and Veit Schwämmle. Contributors: see http://edamontologydocs.readthedocs.io/en/latest/contributors.html. License: see http://edamontologydocs.readthedocs.io/en/latest/license.html.
EDAM is an ontology of well established, familiar concepts that are prevalent within bioinformatics, including types of data and data identifiers, data formats, operations and topics. EDAM is a simple ontology - essentially a set of terms with synonyms and definitions - organised into an intuitive hierarchy for convenient use by curators, software developers and end-users. EDAM is suitable for large-scale semantic annotations and categorisation of diverse bioinformatics resources. EDAM is also suitable for diverse application including for example within workbenches and workflow-management systems, software distributions, and resource registries.
Jon Ison, Matus Kalas, Hervé Ménager