Standards > terminology artifact > DOI:10.25504/FAIRsharing.haxp7g

ready Feature Annotation Location Description Ontology


General Information
The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.

How to cite this record: FALDO; Feature Annotation Location Description Ontology; DOI:; Last edited: Feb. 22, 2018, 2:42 p.m.; Last accessed: Mar 18 2018 10:49 p.m.

This record is maintained by jerven

Record added: Jan. 16, 2017, 2:40 p.m.
Record updated: Dec. 8, 2017, 7:34 p.m. by The FAIRsharing Team.



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FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.

Bolleman JT,Mungall CJ,Strozzi F,Baran J,Dumontier M,Bonnal RJ,Buels R,Hoehndorf R,Fujisawa T,Katayama T,Cock PJ
J Biomed Semantics 2016

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FALDO Ontology Display

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Implementing Databases (2)
The Ensembl project is based at the European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI). It provides one of the most comprehensive and integrated resources of genomic data, which can be accessed through the web ( and through BioMart, FTP, Perl APIs, REST API and MySQL queries.

UniProt Knowledgebase
The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka "UniProtKB/Swiss-Prot"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka "UniProtKB/TrEMBL").

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  • This record is maintained by jerven