Evidence map›Paper›PMID 12409480›Full record

ArticleNucleic acids research2002

EZ-Retrieve: a web-server for batch retrieval of coordinate-specified human DNA sequences and underscoring putative transcription factor-binding sites.

Haibo Zhang, Y Ramanathan, Patricia Soteropoulos, Michael L Recce, Peter P Tolias

Abstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Reliable prediction of transcription factor binding sites by phylogenetic verification.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Haibo ZhangCenter for Applied Genomics, Public Health Research Institute, 225 Warren Street, ICPH W420M, Newark, NJ 07103, USA.
Y Ramanathan
Patricia Soteropoulos
Michael L Recce
Peter P Tolias

Funding

FUNCTIONAL CLONING OF DNA AND RNA BINDING PROTEINSR33CA083213 · NCI · PUBLIC HEALTH RESEARCH INSTITUTE · PI TOLIAS, PETER P · 2000 to 2002
$2.2M
FUNCTIONAL CLONING OF DNA AND RNA BINDING PROTEINSR21CA083213 · NCI · PUBLIC HEALTH RESEARCH INSTITUTE · PI TOLIAS, P P · 1999 to 1999
–
NCI NIH HHS CA83213
6 · The paper itself

Abstract

The availability of a draft human genome sequence and ability to monitor the transcription of thousands of genes with DNA microarrays has necessitated the need for new computational tools that can analyze cis-regulatory elements controlling genes that display similar expression patterns. We have developed a tool designated EZ-Retrieve that can: (i) retrieve any particular region of human genome sequence from the NCBI database and (ii) analyze retrieved sequences for putative transcription factor-binding sites (TFBSs) as they appear on the TRANSFAC database. The tool is web-based, user-friendly and offers both batch sequence retrieval and batch TFBS prediction. A major application of EZ-Retrieve is the analysis of co-expressed genes that are highlighted as expression clusters in DNA microarray experiments.

Indexed as

Cell Cycle ProteinsDNA-Binding ProteinsInternetSoftwareAnimalsBase SequenceBinding SitesComputational BiologyDatabases, GeneticDNADrosophila melanogasterE2F Transcription FactorsGene Expression RegulationGenes, InsectGenome, HumanHumansCell Cycle ProteinsDNADNA-Binding ProteinsE2F Transcription FactorsTranscription Factors

Identifiers

PMID12409480
PMCPMC135846

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.