Evidence map›Paper›PMID 15215391›Full record

ArticleNucleic acids research2004

BEARR: Batch Extraction and Analysis of cis-Regulatory Regions.

Vinsensius B Vega, Dhinoth Kumar Bangarusamy, Lance D Miller, Edison T Liu, Chin-Yo Lin

Abstract 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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Transcriptional regulation of epidermal barrier formation.Methods in molecular biology (Clifton, N.J.) · 2011
    Article
  2. Article
  3. Article
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  5. 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.

Vinsensius B VegaGenome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore 138672. vegav@gis.a-star.edu.sg
Dhinoth Kumar Bangarusamy
Lance D Miller
Edison T Liu
Chin-Yo Lin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors play important roles in regulating biological and disease processes. Microarray technology has enabled researchers to simultaneously monitor changes in the expression of thousands of transcripts. By identifying specific transcription factor binding sites in the cis-regulatory regions of differentially expressed genes, it is then possible to identify direct targets of transcription factors, model transcriptional regulatory networks and mine the dataset for relevant targets for experimental and clinical manipulation. We have developed web-based software to assist biologists in efficiently carrying out the analysis of microarray data from studies of specific transcription factors. Batch Extraction and Analysis of cis-Regulatory Regions, or BEARR, accepts gene identifier lists from microarray data analysis tools and facilitates identification, extraction and analysis of regulatory regions from the large amount of data that is typically generated in these types of studies. The software is publicly available at http://giscompute.gis.a-star.edu.sg/~vega/BEARR1.0/.

Indexed as

Regulatory Sequences, Nucleic AcidSoftwareBinding SitesDNAGene Expression ProfilingInternetOligonucleotide Array Sequence AnalysisSequence Analysis, DNASoftware DesignTranscription FactorsDNATranscription Factors

Identifiers

PMID15215391
PMCPMC441534

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.