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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.

Ontology info

Ontology IRI: http://edamontology.org
Ontology id: edam
Version: 01-11-2017
Number of terms: 3298
Last loaded: Wed Nov 01 13:05:11 GMT 2017

idspace

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"

hasSubset

topics "EDAM topics"

operations "EDAM operations"

data "EDAM types of data"

formats "EDAM data formats"

edam "EDAM"

concept_properties "EDAM concept properties"

identifiers "EDAM types of identifiers"

relations "EDAM relations"

date

31.10.2017 23:01 GMT

creator

Jon Ison

Hervé Ménager

Matúš Kalaš

isDefinedBy

EDAM.owl

Version

1.19

format

application/rdf+xml

remark

EDAM editors: Jon Ison, Matus Kalas, and Herve Menager. Contributors: Inge Jonassen, Dan Bolser, Hamish McWilliam, Mahmut Uludag, James Malone, Rodrigo Lopez, Steve Pettifer, and Peter Rice. Contibutions from these projects: EMBRACE, ELIXIR, and BioMedBridges (EU); EMBOSS (BBSRC, UK); eSysbio, FUGE Bioinformatics Platform, and ELIXIR.NO/Norwegian Bioinformatics Platform (Research Council of Norway). See http://edamontology.org for documentation and licence.

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.

page

page

savedBy

Jon Ison, Matus Kalas, Hervé Ménager

next id

3810