Evidence map›Paper›PMID 27296299›Full record

ArticleJournal of biomedical semantics2016

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

Jerven T Bolleman, Christopher J Mungall, Francesco Strozzi, Joachim Baran, Michel Dumontier, Raoul J P Bonnal, Robert Buels, Robert Hoehndorf, Takatomo Fujisawa, Toshiaki Katayama and 1 more

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  9. TogoGenome/TogoStanza: modularized Semantic Web genome database.Database : the journal of biological databases and curation · 2019
    Article
  10. Article
  11. NBDC RDF portal: a comprehensive repository for semantic data in life sciences.Database : the journal of biological databases and curation · 2018
    Article
  12. YummyData: providing high-quality open life science data.Database : the journal of biological databases and curation · 2018
    Article
  13. Article
  14. Article
  15. DNA Data Bank of Japan.Nucleic acids research · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jerven T BollemanSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel, Servet, Geneva 4, 1211, Switzerland. jerven.bolleman@sib.swiss.
Christopher J MungallGenomics Division, Lawrence Berkeley National Laboratory, Berkeley, 94720, CA, US.
Francesco StrozziCeRSA, Parco Tecnologico Padano, Lodi, 26900, Italy.
Joachim BaranCODAMONO, 5-121 Marion Street, Toronto, M6R 1E6, Ontario, Canada.
Michel DumontierStanford Center for Biomedical Informatics Research, 1265 Welch Road, Room X223, Stanford, 94305-5479, CA, US.
Raoul J P BonnalIntegrative Biology Program, Istituto Nazionale Genetica Molecolare, Milan, Italy.
Robert BuelsUniversity of California, Berkeley, Berkeley, CA, USA.
Robert HoehndorfDepartment of Computer Science, Aberystwyth, SY23 3DB, UK.
Takatomo FujisawaCenter for Information Biology, National Institute of Genetics, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka, 411-08540, Japan.
Toshiaki KatayamaDatabase Center for Life Science, Research Organization of Information and Systems, 2-11-16, Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan.
Peter J A CockThe James Hutton Institute, Dundee, DD2 5DA, UK.

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
NIH HHS R24 OD011883
6 · The paper itself

Abstract

backgroundNucleotide and protein sequence feature annotations are essential to understand biology on the genomic, transcriptomic, and proteomic level. Using Semantic Web technologies to query biological annotations, there was no standard that described this potentially complex location information as subject-predicate-object triples. DESCRIPTION: We have developed an ontology, the Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences. 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. The genome browser JBrowse is used to demonstrate accessing multiple SPARQL endpoints to display genomic feature annotations, as well as protein annotations from UniProt mapped to genomic locations.

conclusionsOur ontology allows users to uniformly describe - and potentially merge - sequence annotations from multiple sources. Data sources using FALDO can prospectively be retrieved using federalised SPARQL queries against public SPARQL endpoints and/or local private triple stores.

Indexed as

Biological OntologiesSemanticsDatabases, GeneticDatabases, ProteinFuzzy LogicHumansMolecular Sequence AnnotationNucleotidesProteinsReference BooksNucleotidesProteinsAnnotationData integrationRDFSemantic WebSequence featureSequence ontologySPARQLStandardisation

Identifiers

PMID27296299
PMCPMC4907002

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.