Evidence map›Paper›PMID 27150809›Full record

ArticleNucleic acids research2016

KeyPathwayMinerWeb: online multi-omics network enrichment.

Markus List, Nicolas Alcaraz, Martin Dissing-Hansen, Henrik J Ditzel, Jan Mollenhauer, Jan Baumbach

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Drug Repurposing for Kala-Azar.Pharmaceutics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. KeyPathwayMineR:Frontiers in genetics · 2021
    Review
  11. Article
  12. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Towards a data-integrated cell.Nature communications · 2019
    Article
  20. Article
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.

Markus ListDepartment of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark Lundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, 5000 Odense, Denmark Institute of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark Institute of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark Max Planck Institute for Informatics, 66123 Saarbrücken, Germany.ORCID 0000-0002-0941-4168
Nicolas AlcarazDepartment of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark Institute of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark.
Martin Dissing-HansenDepartment of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark.
Henrik J DitzelLundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, 5000 Odense, Denmark Institute of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark Department of Oncology, Odense University Hospital, 5000 Odense, Denmark.
Jan MollenhauerLundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, 5000 Odense, Denmark Institute of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark.
Jan BaumbachDepartment of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark Max Planck Institute for Informatics, 66123 Saarbrücken, Germany jan.baumbach@imada.sdu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present KeyPathwayMinerWeb, the first online platform for de novo pathway enrichment analysis directly in the browser. Given a biological interaction network (e.g. protein-protein interactions) and a series of molecular profiles derived from one or multiple OMICS studies (gene expression, for instance), KeyPathwayMiner extracts connected sub-networks containing a high number of active or differentially regulated genes (proteins, metabolites) in the molecular profiles. The web interface at (http://keypathwayminer.compbio.sdu.dk) implements all core functionalities of the KeyPathwayMiner tool set such as data integration, input of background knowledge, batch runs for parameter optimization and visualization of extracted pathways. In addition to an intuitive web interface, we also implemented a RESTful API that now enables other online developers to integrate network enrichment as a web service into their own platforms.

Indexed as

Gene Regulatory NetworksUser-Computer InterfaceCase-Control StudiesComputational BiologyDatasets as TopicGene Expression ProfilingGene Expression RegulationHumansHuntingtin ProteinHuntington DiseaseInternetProtein Interaction MappingHTT protein, humanHuntingtin Protein

Identifiers

PMID27150809
PMCPMC4987922

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.