Evidence map›Paper›PMID 19921742›Full record

ReviewMolecular reproduction and development2010

Representing ontogeny through ontology: a developmental biologist's guide to the gene ontology.

David P Hill, Tanya Z Berardini, Douglas G Howe, Kimberly M Van Auken

Abstract readReview
In one paragraph

Review in Molecular reproduction and development, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Overview of the gene ontology task at BioCreative IV.Database : the journal of biological databases and curation · 2014
    Article
  8. BC4GO: a full-text corpus for the BioCreative IV GO task.Database : the journal of biological databases and curation · 2014
    Article
  9. Article
  10. 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

4 authors.

David P HillThe Gene Ontology Consortium.
Tanya Z Berardini
Douglas G Howe
Kimberly M Van Auken

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Wormbase SupplementP41HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 2000 to 2012
$32.0M
Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
ZFIN:THE ZEBRAFISH MODEL ORGANISM DATABASEP41HG002659 · NHGRI · UNIVERSITY OF OREGON · PI WESTERFIELD, MONTE · 2003 to 2010
$21.2M
GENE ONTOLOGY CONSORTIUMR01HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2001 to 2003
$5.8M
NHGRI NIH HHS P41 HG002223NHGRI NIH HHS P41 HG002273NHGRI NIH HHS P41 HG002659NHGRI NIH HHS P41HG002659NHGRI NIH HHS P41-HG02223NHGRI NIH HHS R01 HG002273NHGRI NIH HHS U41 HG002273
6 · The paper itself

Abstract

Developmental biology, like many other areas of biology, has undergone a dramatic shift in the perspective from which developmental processes are viewed. Instead of focusing on the actions of a handful of genes or functional RNAs, we now consider the interactions of large functional gene networks and study how these complex systems orchestrate the unfolding of an organism, from gametes to adult. Developmental biologists are beginning to realize that understanding ontogeny on this scale requires the utilization of computational methods to capture, store and represent the knowledge we have about the underlying processes. Here we review the use of the Gene Ontology (GO) to study developmental biology. We describe the organization and structure of the GO and illustrate some of the ways we use it to capture the current understanding of many common developmental processes. We also discuss ways in which gene product annotations using the GO have been used to ask and answer developmental questions in a variety of model developmental systems. We provide suggestions as to how the GO might be used in more powerful ways to address questions about development. Our goal is to provide developmental biologists with enough background about the GO that they can begin to think about how they might use the ontology efficiently and in the most powerful ways possible.

Indexed as

Databases, GeneticMorphogenesisSoftwareAnimalsCell DifferentiationComputational BiologyDatabase Management SystemsDevelopmental BiologyTerminology as TopicVocabulary, Controlled

Identifiers

PMID19921742
PMCPMC2830379

What OpenQuestion holds

Textmetadata
LicenceTDM
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.