Evidence map›Paper›PMID 26034559›Full record

ArticleJournal of biomedical semantics2015

Region Evolution eXplorer - A tool for discovering evolution trends in ontology regions.

Victor Christen, Michael Hartung, Anika Groß

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Evolution of biomedical ontologies and mappings: Overview of recent approaches.Computational and structural biotechnology journal · 2016
    Review
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

3 authors.

Victor ChristenDepartment of Computer Science, Universität Leipzig, Augustusplatz 10, Leipzig, Germany.
Michael HartungDepartment of Computer Science, Universität Leipzig, Augustusplatz 10, Leipzig, Germany ; Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstr. 16 - 18, Leipzig, Germany.
Anika GroßDepartment of Computer Science, Universität Leipzig, Augustusplatz 10, Leipzig, Germany ; Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstr. 16 - 18, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Therefore, it is valuable to study which ontology parts have been extensively modified or remained unchanged. Users can monitor the evolution of an ontology to improve its further development or apply the knowledge in their applications.

resultsHere we present REX (Region Evolution eXplorer) a web-based system for exploring the evolution of ontology parts (regions). REX provides an analysis platform for currently about 1,000 versions of 16 well-known life science ontologies. Interactive workflows allow an explorative analysis of changing ontology regions and can be used to study evolution trends for long-term periods.

conclusionREX is a web application providing an interactive and user-friendly interface to identify (un)stable regions in large life science ontologies. It is available at http://www.izbi.de/rex.

Indexed as

OntologiesOntology evolutionOntology visualization

Identifiers

PMID26034559
PMCPMC4450457

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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.