Evidence map›Paper›PMID 16484377›Full record

ArticleRNA (New York, N.Y.)2006

The RNA Ontology Consortium: an open invitation to the RNA community.

Neocles B Leontis, Russ B Altman, Helen M Berman, Steven E Brenner, James W Brown, David R Engelke, Stephen C Harvey, Stephen R Holbrook, Fabrice Jossinet, Suzanna E Lewis and 5 more

Abstract readLetter
In one paragraph

Article in RNA (New York, N.Y.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evolution of the Sequence Ontology terms and relationships.Journal of biomedical informatics · 2011
    Article
  8. Article
  9. RKB: a Semantic Web knowledge base for RNA.Journal of biomedical semantics · 2010
    Article
  10. The RNA structure alignment ontology.RNA (New York, N.Y.) · 2009
    Article
  11. Analysis of four-way junctions in RNA structures.Journal of molecular biology · 2009
    Article
  12. Initial implementation of a comparative data analysis ontology.Evolutionary bioinformatics online · 2009
    Article
  13. Frequency and isostericity of RNA base pairs.Nucleic acids research · 2009
    Article
  14. Article
  15. Article
  16. 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.

Neocles B Leontis
Russ B Altman
Helen M Berman
Steven E Brenner
James W Brown
David R Engelke
Stephen C Harvey
Stephen R Holbrook
Fabrice Jossinet
Suzanna E Lewis
François Major
David H Mathews
Jane S Richardson
James R Williamson
Eric Westhof

Funding

EUKARYOTIC TRNA MATURATIONR01GM034869 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ENGELKE, DAVID R · 1985 to 2006
$2.3M
Inverse Kinematics, Sterics &Data - To Fit RNA BackboneR01GM074127 · NIGMS · DUKE UNIVERSITY · PI RICHARDSON, JANE SHELBY · 2005 to 2009
$899k
SELECTION AND ANALYSIS OF STABLE RNA 3 WAY JUNCTIONSR15GM055898 · NIGMS · BOWLING GREEN STATE UNIVERSITY · PI LEONTIS, NEOCLES B · 1997 to 2010
$680k
NIGMS NIH HHS R01 GM034869NIGMS NIH HHS R01 GM074127NIGMS NIH HHS R15 GM055898
6 · The paper itself

Abstract

The aim of the RNA Ontology Consortium (ROC) is to create an integrated conceptual framework-an RNA Ontology (RO)-with a common, dynamic, controlled, and structured vocabulary to describe and characterize RNA sequences, secondary structures, three-dimensional structures, and dynamics pertaining to RNA function. The RO should produce tools for clear communication about RNA structure and function for multiple uses, including the integration of RNA electronic resources into the Semantic Web. These tools should allow the accurate description in computer-interpretable form of the coupling between RNA architecture, function, and evolution. The purposes for creating the RO are, therefore, (1) to integrate sequence and structural databases; (2) to allow different computational tools to interoperate; (3) to create powerful software tools that bring advanced computational methods to the bench scientist; and (4) to facilitate precise searches for all relevant information pertaining to RNA. For example, one initial objective of the ROC is to define, identify, and classify RNA structural motifs described in the literature or appearing in databases and to agree on a computer-interpretable definition for each of these motifs. To achieve these aims, the ROC will foster communication and promote collaboration among RNA scientists by coordinating frequent face-to-face workshops to discuss, debate, and resolve difficult conceptual issues. These meeting opportunities will create new directions at various levels of RNA research. The ROC will work closely with the PDB/NDB structural databases and the Gene, Sequence, and Open Biomedical Ontology Consortia to integrate the RO with existing biological ontologies to extend existing content while maintaining interoperability.

Indexed as

RNASocietiesDatabases, GeneticInformation DisseminationInternetSequence AlignmentRNA

Identifiers

PMID16484377
PMCPMC1421088

What OpenQuestion holds

Textmetadata
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.