Evidence map›Paper›PMID 22253291›Full record

ArticleBioinformatics (Oxford, England)2012

ReLA, a local alignment search tool for the identification of distal and proximal gene regulatory regions and their conserved transcription factor binding sites.

Santi González, Bàrbara Montserrat-Sentís, Friman Sánchez, Montserrat Puiggròs, Enrique Blanco, Alex Ramirez, David Torrents

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Santi GonzálezJoint IRB-BSC program on Computational Biology, BSC c/ Jordi Girona 29, Catalonia.
Bàrbara Montserrat-Sentís
Friman Sánchez
Montserrat Puiggròs
Enrique Blanco
Alex Ramirez
David Torrents

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe prediction and annotation of the genomic regions involved in gene expression has been largely explored. Most of the energy has been devoted to the development of approaches that detect transcription start sites, leaving the identification of regulatory regions and their functional transcription factor binding sites (TFBSs) largely unexplored and with important quantitative and qualitative methodological gaps.

resultsWe have developed ReLA (for REgulatory region Local Alignment tool), a unique tool optimized with the Smith-Waterman algorithm that allows local searches of conserved TFBS clusters and the detection of regulatory regions proximal to genes and enhancer regions. ReLA's performance shows specificities of 81 and 50% when tested on experimentally validated proximal regulatory regions and enhancers, respectively.

Indexed as

Regulatory Sequences, Nucleic AcidSearch EngineAlgorithmsAnimalsHumansProtein BindingSequence AlignmentTranscription FactorsTranscription Initiation SiteTranscription Factors

Identifiers

PMID22253291
PMCPMC3307110

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.