Evidence map›Paper›PMID 17616982›Full record

ArticlePLoS computational biology2007

A computational pipeline for high- throughput discovery of cis-regulatory noncoding RNA in prokaryotes.

Zizhen Yao, Jeffrey Barrick, Zasha Weinberg, Shane Neph, Ronald Breaker, Martin Tompa, Walter L Ruzzo

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

59 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biomolecules · 2024
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  6. Regulatory RNAs inSynthetic and systems biotechnology · 2024
    Review
  7. Discovering riboswitches: the past and the future.Trends in biochemical sciences · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. The impact of PrsA over-expression on theFrontiers in microbiology · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

7 authors at 2 institutions in 1 country.

Zizhen YaoDepartment of Computer Science and Engineering, University of Washington, Seattle, Washington, USA. yzizhen@cs.washington.edu
Jeffrey Barrick
Zasha Weinberg
Shane Neph
Ronald Breaker
Martin Tompa
Walter L Ruzzo
University of Washington · USYale University · US

Funding

YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
Discovering Motifs From Orthologous SequencesR01HG002602 · NHGRI · UNIVERSITY OF WASHINGTON · PI TOMPA, MARTIN · 2002 to 2004
$981k
NCRR NIH HHS RR19895NCRR NIH HHS S10 RR019895NHGRI NIH HHS R01 HG002602NHGRI NIH HHS R01 HG02602NIDDK NIH HHS R33 DK07027
6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs) are important functional RNAs that do not code for proteins. We present a highly efficient computational pipeline for discovering cis-regulatory ncRNA motifs de novo. The pipeline differs from previous methods in that it is structure-oriented, does not require a multiple-sequence alignment as input, and is capable of detecting RNA motifs with low sequence conservation. We also integrate RNA motif prediction with RNA homolog search, which improves the quality of the RNA motifs significantly. Here, we report the results of applying this pipeline to Firmicute bacteria. Our top-ranking motifs include most known Firmicute elements found in the RNA family database (Rfam). Comparing our motif models with Rfam's hand-curated motif models, we achieve high accuracy in both membership prediction and base-pair-level secondary structure prediction (at least 75% average sensitivity and specificity on both tasks). Of the ncRNA candidates not in Rfam, we find compelling evidence that some of them are functional, and analyze several potential ribosomal protein leaders in depth.

Indexed as

Sequence Homology, Nucleic AcidArtificial IntelligenceBase SequenceComputational BiologyConserved SequenceDatabases, Nucleic AcidGenes, RegulatorGenome, BacterialMolecular Sequence DataNucleic Acid ConformationPattern Recognition, AutomatedRNA, BacterialRNA, UntranslatedRNA, BacterialRNA, Untranslated

Identifiers

PMID17616982
PMCPMC1913097
OpenAlexW2003016263

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.