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


ready Feature Annotation Location Description Ontology

Abbreviation: FALDO


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 FAIRsharing.org: FALDO; Feature Annotation Location Description Ontology; DOI: https://doi.org/10.25504/FAIRsharing.haxp7g; Last edited: Feb. 4, 2020, 2:13 p.m.; Last accessed: Oct 24 2020 9:23 a.m.

Publication for citation  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; 10.1186/s13326-016-0067-z;


This record is maintained by jerven

Record added: Jan. 16, 2017, 2:40 p.m.
Record updated: Feb. 4, 2020, 2:13 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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Related Databases (2)
Ensembl
Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.

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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