Evidence map›Paper›PMID 30407590›Full record

ArticleNucleic acids research2019

ECO, the Evidence & Conclusion Ontology: community standard for evidence information.

Michelle Giglio, Rebecca Tauber, Suvarna Nadendla, James Munro, Dustin Olley, Shoshannah Ball, Elvira Mitraka, Lynn M Schriml, Pascale Gaudet, Elizabeth T Hobbs and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
–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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. AI semantics for biomedical data integration.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Semantic Representation of Neural Circuit Knowledge inbioRxiv : the preprint server for biology · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. The Chromatin Structure at theInternational journal of molecular sciences · 2022
    Article
  17. Article
  18. Article
  19. 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

15 authors.

Michelle GiglioInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Rebecca TauberInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Suvarna NadendlaInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
James MunroInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Dustin OlleyInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Shoshannah BallInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Elvira MitrakaInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Lynn M SchrimlInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Pascale GaudetSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Elizabeth T HobbsDepartment of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD 21250, USA.
Ivan ErillDepartment of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD 21250, USA.
Deborah A SiegeleDepartment of Biology, Texas A&M University, College Station, TX 77840, USA.
James C HuDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77840, USA.
Chris MungallMolecular Ecosystems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Marcus C ChibucosInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
The Disease Ontology Project: mechanistic profiles of human disease for biomedical and clinical researchU41HG008735 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI SCHRIML, LYNN MARIE · 2017 to 2021
$3.4M
An Ontology for Microbial PhenotypesR01GM089636 · NIGMS · TEXAS A&M UNIVERSITY · PI HU, JAMES C · 2010 to 2016
$1.6M
NHGRI NIH HHS U41 HG002273NHGRI NIH HHS U41 HG008735NIGMS NIH HHS R01 GM089636
6 · The paper itself

Abstract

The Evidence and Conclusion Ontology (ECO) contains terms (classes) that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures and query of evidence. ECO contains over 1500 terms and is in use by many leading biological resources including the Gene Ontology, UniProt and several model organism databases. ECO is continually being expanded and revised based on the needs of the biocuration community. The ontology is freely available for download from GitHub (https://github.com/evidenceontology/) or the project's website (http://evidenceontology.org/). Users can request new terms or changes to existing terms through the project's GitHub site. ECO is released into the public domain under CC0 1.0 Universal.

Indexed as

Databases, GeneticGene OntologyAnimalsComputational BiologyHumansInformation Storage and RetrievalInternetProteinsSequence Analysis, ProteinUser-Computer InterfaceProteins

Identifiers

PMID30407590
PMCPMC6323956

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.