Evidence map›Paper›PMID 15466295›Full record

ArticleGenome research2004

Decoding human regulatory circuits.

William Thompson, Michael J Palumbo, Wyeth W Wasserman, Jun S Liu, Charles E Lawrence

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed, 106 citations in OpenAlex.

  1. Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  2. Review
  3. GAMI-CRM: Using de novo motif inference to detect cis-regulatory modules.Proceedings of the ... Congress on Evolutionary Computation. Congress on Evolutionary Computation · 2014
    Article
  4. Article
  5. Review
  6. Article
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  10. Article
  11. Identifying regulatory elements in eukaryotic genomes.Briefings in functional genomics & proteomics · 2009
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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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 at 3 institutions in 2 countries.

William ThompsonCenter for Bioinformatics, Wadsworth Center, New York State Department of Health, Albany, New York 12208, USA. thompson@wadsworth.org
Michael J Palumbo
Wyeth W Wasserman
Jun S Liu
Charles E Lawrence
New York State Department of Health · USHarvard University · USUniversity of British Columbia · CA

Funding

DETECTING SUBTLE SIGNALS IN GENOMIC SEQUENCER01HG001257 · NHGRI · WADSWORTH CENTER · PI LAWRENCE, CHARLES E · 1995 to 2004
$1.7M
CIHR 64231CIHR 69153NHGRI NIH HHS R01 HG001257NHGRI NIH HHS R01HG01257
6 · The paper itself

Abstract

Clusters of transcription factor binding sites (TFBSs) which direct gene expression constitute cis-regulatory modules (CRMs). We present a novel algorithm, based on Gibbs sampling, which locates, de novo, the cis features of these CRMs, their component TFBSs, and the properties of their spatial distribution. The algorithm finds 69% of experimentally reported TFBSs and 85% of the CRMs in a reference data set of regions upstream of genes differentially expressed in skeletal muscle cells. A discriminant procedure based on the output of the model specifically discriminated regulatory sequences in muscle-specific genes in an independent test set. Application of the method to the analysis of 2710 10-kb fragments upstream of annotated human genes identified 17 novel candidate modules with a false discovery rate </=0.05, demonstrating the applicability of the method to genome-scale data.

Indexed as

AlgorithmsAnimalsBinding SitesBiological EvolutionHumansModels, GeneticMuscle, SkeletalProtein BindingTranscription FactorsTranscription Factors

Identifiers

PMID15466295
PMCPMC524421
OpenAlexW2062872358

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.