Evidence map›Paper›PMID 17483517›Full record

ArticleNucleic acids research2007

The Gibbs Centroid Sampler.

William A Thompson, Lee A Newberg, Sean Conlan, Lee Ann McCue, Charles E Lawrence

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The MEME Suite.Nucleic acids research · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Comprehensive experimental fitness landscape and evolutionary network for small RNA.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

5 authors.

William A ThompsonCenter for Computational Molecular Biology and the Division of Applied Mathematics, Brown University, Providence, RI 02912, USA. william_thompson_l@brown.edu
Lee A Newberg
Sean Conlan
Lee Ann McCue
Charles E Lawrence

Funding

WNT SIGNALING IN HEPATOCELLULAR CARCINOMAP20RR015578 · NCRR · BROWN UNIVERSITY · PI KLYSIK, JAN E · 2000 to 2009
$22.8M
DETECTING SUBTLE SIGNALS IN GENOMIC SEQUENCER01HG001257 · NHGRI · WADSWORTH CENTER · PI LAWRENCE, CHARLES E · 1995 to 2004
$1.7M
Quantitative Cross-Species Approaches to Gene RegulationK25HG003291 · NHGRI · WADSWORTH CENTER · PI NEWBERG, LEE A · 2005 to 2007
$405k
NCRR NIH HHS 2P20-RR01-5578-06NCRR NIH HHS P20 RR015578NHGRI NIH HHS K25 HG003291NHGRI NIH HHS K25-HG003291NHGRI NIH HHS R01 HG001257NHGRI NIH HHS R01-HG01257
6 · The paper itself

Abstract

The Gibbs Centroid Sampler is a software package designed for locating conserved elements in biopolymer sequences. The Gibbs Centroid Sampler reports a centroid alignment, i.e. an alignment that has the minimum total distance to the set of samples chosen from the a posteriori probability distribution of transcription factor binding-site alignments. In so doing, it garners information from the full ensemble of solutions, rather than only the single most probable point that is the target of many motif-finding algorithms, including its predecessor, the Gibbs Recursive Sampler. Centroid estimators have been shown to yield substantial improvements, in both sensitivity and positive predictive values, to the prediction of RNA secondary structure and motif finding. The Gibbs Centroid Sampler, along with interactive tutorials, an online user manual, and information on downloading the software, is available at: http://bayesweb.wadsworth.org/gibbs/gibbs.html.

Indexed as

SoftwareAlgorithmsBinding SitesComputational BiologyGenetic VariationInternetMarkov ChainsMonte Carlo MethodRepetitive Sequences, Nucleic AcidSequence Analysis, DNAStatistics, NonparametricTranscription FactorsTranscription Initiation SiteUser-Computer InterfaceTranscription Factors

Identifiers

PMID17483517
PMCPMC1933196

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.