Evidence map›Paper›PMID 19577472›Full record

ReviewTrends in microbiology2009

Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns.

Karen R Christie, Eurie L Hong, J Michael Cherry

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Network science (Cambridge University Press) · 2014
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Considerations for creating and annotating the budding yeast Genome Map at SGD: a progress report.Database : the journal of biological databases and curation · 2012
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors.

Karen R ChristieDepartment of Genetics, Stanford University Medical School, Stanford, CA 94305-5120, USA.
Eurie L Hong
J Michael Cherry

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
GENOMIC DATABASE FOR THE YEAST SACCHAROMYCESP41HG001315 · NHGRI · STANFORD UNIVERSITY · PI CHERRY, J. MICHAEL · 1995 to 2010
$27.1M
Genomic Resource for the Yeast SaccharomycesU41HG001315 · NHGRI · STANFORD UNIVERSITY · PI CHERRY, J. MICHAEL · 2011 to 2020
$26.4M
Genomic Resource for the Yeast SaccharomycesU24HG001315 · NHGRI · STANFORD UNIVERSITY · PI Stacia Engel, Gavin J Sherlock · 2021 to 2026
$10.9M
GENE ONTOLOGY CONSORTIUMR01HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2001 to 2003
$5.8M
NHGRI NIH HHS HG001315NHGRI NIH HHS HG002273NHGRI NIH HHS P41 HG001315NHGRI NIH HHS P41 HG002273NHGRI NIH HHS R01 HG002273NHGRI NIH HHS U24 HG001315NHGRI NIH HHS U41 HG001315NHGRI NIH HHS U41 HG002273
6 · The paper itself

Abstract

The quest to characterize each of the genes of the yeast Saccharomyces cerevisiae has propelled the development and application of novel high-throughput (HTP) experimental techniques. To handle the enormous amount of information generated by these techniques, new bioinformatics tools and resources are needed. Gene Ontology (GO) annotations curated by the Saccharomyces Genome Database (SGD) have facilitated the development of algorithms that analyze HTP data and help predict functions for poorly characterized genes in S. cerevisiae and other organisms. Here, we describe how published results are incorporated into GO annotations at SGD and why researchers can benefit from using these resources wisely to analyze their HTP data and predict gene functions.

Indexed as

Genome, FungalComputational BiologySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsVocabulary, ControlledSaccharomyces cerevisiae Proteins

Identifiers

PMID19577472
PMCPMC3057094

What OpenQuestion holds

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Registered trials

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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.