Evidence map›Paper›PMID 31685817›Full record

ArticleScientific data2019

The Empusa code generator and its application to GBOL, an extendable ontology for genome annotation.

Jesse C J van Dam, Jasper J Koehorst, Jon Olav Vik, Vitor A P Martins Dos Santos, Peter J Schaap, Maria Suarez-Diez

Abstract read
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

5 citing papers in PubMed.

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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

6 authors.

Jesse C J van DamLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, 6708 WE, The Netherlands.
Jasper J KoehorstLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, 6708 WE, The Netherlands.ORCID http://orcid.org/0000-0001-8172-8981
Jon Olav VikCentre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences (IHA), Faculty of Life Sciences (BIOVIT), Norwegian University of Life Sciences (NMBU), PO Box 5003, Ås, Norway.
Vitor A P Martins Dos SantosLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, 6708 WE, The Netherlands.
Peter J SchaapLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, 6708 WE, The Netherlands.ORCID http://orcid.org/0000-0002-4346-6084
Maria Suarez-DiezLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, 6708 WE, The Netherlands. maria.suarezdiez@wur.nl.ORCID http://orcid.org/0000-0001-5845-146X

Funding

EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health) 305340EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priorioty Industrial Leadership | H2020 Industrial Leadership - Leadership in Enabling and Industrial Technologies | H2020 LEIT Biotechnology (H2020 Leadership in Enabling and Industrial Technologies - Biotechnology) 634940EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priorioty Industrial Leadership | H2020 Industrial Leadership - Leadership in Enabling and Industrial Technologies | H2020 LEIT Biotechnology (H2020 Leadership in Enabling and Industrial Technologies - Biotechnology) 635536EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Research Infrastructures (H2020 Excellent Science - Research Infrastructures) 730976Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) NRGWI.obrug.2018.005Norges Forskningsråd (Research Council of Norway) 248792
6 · The paper itself

Abstract

The RDF data model facilitates integration of diverse data available in structured and semi-structured formats. To obtain a coherent RDF graph the chosen ontology must be consistently applied. However, addition of new diverse data causes the ontology to evolve, which could lead to accumulation of unintended erroneous composites. Thus, there is a need for a gate keeping system that compares the intended content described in the ontology with the actual content of the resource. The Empusa code generator facilitates creation of composite RDF resources from disparate sources. Empusa can convert a schema into an associated application programming interface (API), that can be used to perform data consistency checks and generates Markdown documentation to make persistent URLs resolvable. Using Empusa consistency is ensured within and between the ontology and the content of the resource. As an illustration of the potential of Empusa, we present the Genome Biology Ontology Language (GBOL). GBOL uses and extends current ontologies to provide a formal representation of genomic entities, along with their properties, relations and provenance.

Indexed as

Gene OntologyGenomeSoftwareAnimalsHumansMolecular Sequence Annotation

Identifiers

PMID31685817
PMCPMC6828702

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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.