
Data scientists record what kind of data a file holds and its format, such as Sequence alignment.
Researchers tag tools and workflows with EDAM topics and formats, such as Proteomics or FASTA.
AI agents check exact EDAM names, such as Sequence analysis, before they tag tools or answer questions.
EDAM is a domain ontology of data analysis and data management in bio- and other sciences. Its main sections are Topic, Operation, Data and Format. Classes in this entry include Data, Format, Topic, Identifier, Sequence, Sequence alignment, FASTA, Sequence analysis and Proteomics. EDAM is used to annotate and group tools, workflows, learning materials and standards. The entity count is the number of classes that EBI OLS marks as defined by EDAM itself. Researchers and data scientists can use this entry to find exact EDAM names before they describe tools, data or file formats.
Data, Format, Topic, Identifier, Sequence, Sequence alignment, Protein structure, FASTA, Sequence analysis, Gene expression, Proteomics, Bioinformatics
Look up EDAM names in this entry, then read each class's definition in EBI OLS. EDAM names start with a capital letter, such as Data and Format. Sample prompt: "Using the EDAM entry in the Schematica Library, which EDAM formats describe sequence data, such as FASTA?" Read via MCP: get_project_summary with graphProjectId bd83a63958784e14947b66cde7221fa7.
Publisher: None. License: CC-BY-SA-4.0 (https://github.com/edamontology/edamontology/blob/main/LICENSE). Version: 1.25-20260626T1230Z. Format: owl. Described by the Schema Librarian on 2026-10-23; auto-cataloged.