ArticleBMC systems biology2014
BioModels linked dataset.
Article in BMC systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- A scoping review of mathematical modeling techniques for gingival keratinization: A framework for periodontal research.Journal of clinical and experimental dentistry · 2025Review
- MetaboRank: network-based recommendation system to interpret and enrich metabolomics results.Bioinformatics (Oxford, England) · 2019Article
- Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data.Molecular omics · 2018Review
- Notions of similarity for systems biology models.Briefings in bioinformatics · 2018Article
- A Computational Solution to Automatically Map Metabolite Libraries in the Context of Genome Scale Metabolic Networks.Frontiers in molecular biosciences · 2016Article
- SPARQL-enabled identifier conversion with Identifiers.org.Bioinformatics (Oxford, England) · 2015Article
- BioModels: ten-year anniversary.Nucleic acids research · 2015Article
- Combining computational models, semantic annotations and simulation experiments in a graph database.Database : the journal of biological databases and curation · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundBioModels Database is a reference repository of mathematical models used in biology. Models are stored as SBML files on a file system and metadata is provided in a relational database. Models can be retrieved through a web interface and programmatically via web services. In addition to those more traditional ways to access information, Linked Data using Semantic Web technologies (such as the Resource Description Framework, RDF), is becoming an increasingly popular means to describe and expose biological relevant data.
resultsWe present the BioModels Linked Dataset, which exposes the models’ content as a dereferencable interlinked dataset. BioModels Linked Dataset makes use of the wealth of annotations available within a large number of manually curated models to link and integrate data and models from other resources.
conclusionsThe BioModels Linked Dataset provides users with a dataset interoperable with other semantic web resources. It supports powerful search queries, some of which were not previously available to users and allow integration of data from multiple resources. This provides a distributed platform to find similar models for comparison, processing and enrichment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.