Evidence map›Paper›PMID 12655017›Full record

ArticleNucleic acids research2003

An approach to identify over-represented cis-elements in related sequences.

Jiashun Zheng, Jiajin Wu, Zhirong Sun

Erratum issuedOpen access · bronzeAbstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 53 citations in OpenAlex.

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  13. Bioinformatics in China: a personal perspective.PLoS computational biology · 2008
    Review
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  17. Regulation of the neuronal proteasome by Zif268 (Egr1).The Journal of neuroscience : the official journal of the Society for Neuroscience · 2006
    Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Jiashun ZhengInstitute of Bioinformatics, State Key Laboratory of Biomembrane and Membrane Biotechnology, Department of Biological Sciences and Biotechnology, Tsinghua University, Beijing 100084, China.
Jiajin Wu
Zhirong Sun
Institute of Zoology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational identification of transcription factor binding sites is an important research area of computational biology. Positional weight matrix (PWM) is a model to describe the sequence pattern of binding sites. Usually, transcription factor binding sites prediction methods based on PWMs require user-defined thresholds. The arbitrary threshold and also the relatively low specificity of the algorithm prevent the result of such an analysis from being properly interpreted. In this study, a method was developed to identify over-represented cis-elements with PWM-based similarity scores. Three sets of closely related promoters were analyzed, and only over- represented motifs with high PWM similarity scores were reported. The thresholds to evaluate the similarity scores to the PWMs of putative transcription factors binding sites can also be automatically determined during the analysis, which can also be used in further research with the same PWMs. The online program is available on the website: http://www.bioinfo.tsinghua.edu.cn/- zhengjsh/OTFBS/.

Indexed as

SoftwareActinsAnimalsBinding SitesDNAHemoglobinsHumansInterferonsPromoter Regions, GeneticProtein BindingTranscription FactorsActinsDNAHemoglobinsInterferonsTranscription Factors

Identifiers

PMID12655017
PMCPMC152803
OpenAlexW2098024690

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.