Evidence map›Paper›PMID 14963262›Full record

ArticleNucleic acids research2004

Statistical analysis of over-represented words in human promoter sequences.

Leonardo Mariño-Ramírez, John L Spouge, Gavin C Kanga, David Landsman

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2004. 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 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 118 citations in OpenAlex.

  1. Formation and Recognition of UV-Induced DNA Damage within Genome Complexity.International journal of molecular sciences · 2020
    Review
  2. Structural basis of HapELife science alliance · 2020
    Article
  3. Article
  4. Article
  5. Genomics & informatics · 2017
    Article
  6. Review
  7. Article
  8. Article
  9. Epigenetic regulation of persistent pain.Translational research : the journal of laboratory and clinical medicine · 2015
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Targeting the Y/CCAAT box in cancer: YB-1 (YBX1) or NF-Y?Cell death and differentiation · 2013
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
  • Erratum issued
5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Leonardo Mariño-RamírezComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, MSC 6075 Bethesda, MD 20894-6075, USA.
John L Spouge
Gavin C Kanga
David Landsman
National Center for Biotechnology Information · US

Funding

Gene Regulatory Sequences from Whole Chromosomes/genomesZ01LM000084 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 1998 to 2008
$627k
The Analysis of Signal Elements in Promoter Sequences.Z01LM091704 · NLM · NATIONAL LIBRARY OF MEDICINE · PI SPOUGE, JOHN L · 2004 to 2008
$523k
Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

The identification and characterization of regulatory sequence elements in the proximal promoter region of a gene can be facilitated by knowing the precise location of the transcriptional start site (TSS). Using known TSSs from over 5700 different human full-length cDNAs, this study extracted a set of 4737 distinct putative promoter regions (PPRs) from the human genome. Each PPR consisted of nucleotides from -2000 to +1000 bp, relative to the corresponding TSS. Since many regulatory regions contain short, highly conserved strings of less than 10 nucleotides, we counted eight-letter words within the PPRs, using z-scores and other related statistics to evaluate their over- and under-representation. Several over-represented eight-letter words have known biological functions described in the eukaryotic transcription factor database TRANSFAC; however, many did not. Besides calculating a P-value with the standard normal approximation associated with z-scores, we used two extra statistical controls to evaluate the significance of over-represented words. These controls have important implications for evaluating over- and under-represented words with z-scores.

Indexed as

Promoter Regions, GeneticBase SequenceBinding SitesComputer SimulationData Interpretation, StatisticalGenome, HumanHumansMarkov ChainsTranscription FactorsTranscription Initiation SiteTranscription Factors

Identifiers

PMID14963262
PMCPMC373387
OpenAlexW2113992784

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.