Evidence map›Paper›PMID 25879798›Full record

ArticleBMC bioinformatics2015

BiNChE: a web tool and library for chemical enrichment analysis based on the ChEBI ontology.

Pablo Moreno, Stephan Beisken, Bhavana Harsha, Venkatesh Muthukrishnan, Ilinca Tudose, Adriano Dekker, Stefanie Dornfeldt, Franziska Taruttis, Ivo Grosse, Janna Hastings and 2 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Towards the prediction of non-peptidic epitopes.PLoS computational biology · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. From correlation to causation: analysis of metabolomics data using systems biology approaches.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
  14. Review
  15. Glycosaminoglycanomics: where we are.Glycoconjugate journal · 2017
    Review
  16. Article
  17. Article
  18. 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

12 authors.

Pablo MorenoCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. pmoreno@ebi.ac.uk.
Stephan BeiskenCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. beisken@ebi.ac.uk.
Bhavana HarshaCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. bh4@sanger.ac.uk.
Venkatesh MuthukrishnanCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. venkat@ebi.ac.uk.
Ilinca TudoseCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. tudose@ebi.ac.uk.
Adriano DekkerCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. adekker@ebi.ac.uk.
Stefanie DornfeldtDept. of Stress- and Developmental Biology, Leibniz Institute of Plant Biochemistry, Halle, Germany. stefanie.dornfeldt@student.uni-halle.de.
Franziska TaruttisDept. of Stress- and Developmental Biology, Leibniz Institute of Plant Biochemistry, Halle, Germany. franziska_taruttis@yahoo.de.
Ivo GrosseInstitute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany. grosse@informatik.uni-halle.de.
Janna HastingsCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. hastings@ebi.ac.uk.
Steffen NeumannDept. of Stress- and Developmental Biology, Leibniz Institute of Plant Biochemistry, Halle, Germany. steffen.neumann@ipb-halle.de.
Christoph SteinbeckCheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge, UK. steinbeck@ebi.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/K019783/1
6 · The paper itself

Abstract

backgroundOntology-based enrichment analysis aids in the interpretation and understanding of large-scale biological data. Ontologies are hierarchies of biologically relevant groupings. Using ontology annotations, which link ontology classes to biological entities, enrichment analysis methods assess whether there is a significant over or under representation of entities for ontology classes. While many tools exist that run enrichment analysis for protein sets annotated with the Gene Ontology, there are only a few that can be used for small molecules enrichment analysis.

resultsWe describe BiNChE, an enrichment analysis tool for small molecules based on the ChEBI Ontology. BiNChE displays an interactive graph that can be exported as a high-resolution image or in network formats. The tool provides plain, weighted and fragment analysis based on either the ChEBI Role Ontology or the ChEBI Structural Ontology.

conclusionsBiNChE aids in the exploration of large sets of small molecules produced within Metabolomics or other Systems Biology research contexts. The open-source tool provides easy and highly interactive web access to enrichment analysis with the ChEBI ontology tool and is additionally available as a standalone library.

Indexed as

Biological OntologiesDatabases, ChemicalSoftwareInternetPharmaceutical PreparationsSmall Molecule LibrariesPharmaceutical PreparationsSmall Molecule Libraries

Identifiers

PMID25879798
PMCPMC4349482

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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.