Evidence map›Paper›PMID 27589964›Full record

ArticleDatabase : the journal of biological databases and curation2016

Modeling biochemical pathways in the gene ontology.

David P Hill, Peter D'Eustachio, Tanya Z Berardini, Christopher J Mungall, Nikolai Renedo, Judith A Blake

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Identification of hub genes and pathways in bladder cancer using bioinformatics analysis.American journal of clinical and experimental urology · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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.

David P HillThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Peter D'EustachioDepartment of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA deustp01@med.nyu.edu.
Tanya Z BerardiniArabidopsis Information Resource, Phoenix Bioinformatics, Redwood City, CA 94063, USA.
Christopher J MungallGenomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Nikolai RenedoThe Jackson Laboratory, Bar Harbor, ME 04609, USA.
Judith A BlakeThe Jackson Laboratory, Bar Harbor, ME 04609, USA.

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Mouse Genome DatabaseU41HG000330 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A, BULT, CAROL J · 2011 to 2020
$45.5M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Reactome - CoreU41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2012 to 2021
$14.5M
Diversity Action Plan for Mouse Genome DatabaseR25HG007053 · NHGRI · JACKSON LABORATORY · PI BULT, CAROL J · 2013 to 2020
$558k
NCI NIH HHS P30 CA034196NHGRI NIH HHS R25 HG007053NHGRI NIH HHS U41 HG000330NHGRI NIH HHS U41 HG002273NHGRI NIH HHS U41 HG003751
6 · The paper itself

Abstract

The concept of a biological pathway, an ordered sequence of molecular transformations, is used to collect and represent molecular knowledge for a broad span of organismal biology. Representations of biomedical pathways typically are rich but idiosyncratic presentations of organized knowledge about individual pathways. Meanwhile, biomedical ontologies and associated annotation files are powerful tools that organize molecular information in a logically rigorous form to support computational analysis. The Gene Ontology (GO), representing Molecular Functions, Biological Processes and Cellular Components, incorporates many aspects of biological pathways within its ontological representations. Here we present a methodology for extending and refining the classes in the GO for more comprehensive, consistent and integrated representation of pathways, leveraging knowledge embedded in current pathway representations such as those in the Reactome Knowledgebase and MetaCyc. With carbohydrate metabolic pathways as a use case, we discuss how our representation supports the integration of variant pathway classes into a unified ontological structure that can be used for data comparison and analysis.

Indexed as

Databases, GeneticGene OntologyModels, BiologicalAnimalsCarbohydrate MetabolismHumans

Identifiers

PMID27589964
PMCPMC5009323

What OpenQuestion holds

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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.