ArticleJournal of biomedical semantics2014
BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains.
Article in Journal of biomedical semantics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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.
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Who cites it
26 citing papers in PubMed, 55 citations in OpenAlex.
- Article
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- The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application.Glycobiology · 2021Article
- STO: Stroke Ontology for Accelerating Translational Stroke Research.Neurology and therapy · 2021Article
- GlycoPOST realizes FAIR principles for glycomics mass spectrometry data.Nucleic acids research · 2021Article
- BioHackathon 2015: Semantics of data for life sciences and reproducible research.F1000Research · 2020Article
- Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings.BMC bioinformatics · 2019Article
- TogoGenome/TogoStanza: modularized Semantic Web genome database.Database : the journal of biological databases and curation · 2019Article
- DNA Data Bank of Japan: 30th anniversary.Nucleic acids research · 2018Article
- NBDC RDF portal: a comprehensive repository for semantic data in life sciences.Database : the journal of biological databases and curation · 2018Article
- YummyData: providing high-quality open life science data.Database : the journal of biological databases and curation · 2018Article
- Neuro-symbolic representation learning on biological knowledge graphs.Bioinformatics (Oxford, England) · 2017Article
- SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases.BMC bioinformatics · 2017Article
- DNA Data Bank of Japan.Nucleic acids research · 2017Article
- Article
- The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.Journal of biomedical semantics · 2016Article
- FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.Journal of biomedical semantics · 2016Article
- A Querying Method over RDF-ized Health Level Seven v2.5 Messages Using Life Science Knowledge Resources.JMIR medical informatics · 2016Article
- Automatic generation of bioinformatics tools for predicting protein-ligand binding sites.Bioinformatics (Oxford, England) · 2016Article
- DNA data bank of Japan (DDBJ) progress report.Nucleic acids research · 2016Article
Corrections and comments
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Authors and funding
85 authors at 20 institutions in 15 countries.
Funding
Abstract
The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.
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.