A Semantic Web for bioinformatics: goals, tools, systems, applications.

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

11 citing papers in PubMed.

1. Generic and queryable data integration schema for transcriptomics and epigenomics studies.Computational and structural biotechnology journal · 2024
   Article
2. NETTAB 2014: From high-throughput structural bioinformatics to integrative systems biology.BMC bioinformatics · 2016
   Article
3. NETTAB 2013: Semantic, social, and mobile applications for bioinformatics and biomedical laboratories.BMC bioinformatics · 2014
   Article
4. Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives.BioMed research international · 2014
   Review
5. COEUS: "semantic web in a box" for biomedical applications.Journal of biomedical semantics · 2012
   Article
6. Semantics-based composition of EMBOSS services.Journal of biomedical semantics · 2011
   Article
7. Data integration for dynamic and sustainable systems biology resources: challenges and lessons learned.Chemistry & biodiversity · 2010
   Review
8. phyloXML: XML for evolutionary biology and comparative genomics.BMC bioinformatics · 2009
   Article
9. Improved data retrieval from TreeBASE via taxonomic and linguistic data enrichment.BMC evolutionary biology · 2009
   Article
10. Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data.BMC bioinformatics · 2008
    Article
11. Human Proteinpedia as a resource for clinical proteomics.Molecular & cellular proteomics : MCP · 2008
    Review

Corrections and comments

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

Authors and funding

4 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as