Evidence map›Paper›PMID 27151196›Full record

ArticleNucleic acids research2016

GREAT: a web portal for Genome Regulatory Architecture Tools.

Costas Bouyioukos, François Bucchini, Mohamed Elati, François Képès

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. 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. Article
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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

4 authors.

Costas BouyioukosiSSB, CNRS, Genopole, UEVE, Université Paris-Saclay, 5 rue Henri Desbruères, Évry 91030 Cedex, France.ORCID 0000-0002-7443-3736
François BucchiniiSSB, CNRS, Genopole, UEVE, Université Paris-Saclay, 5 rue Henri Desbruères, Évry 91030 Cedex, France.
Mohamed ElatiiSSB, CNRS, Genopole, UEVE, Université Paris-Saclay, 5 rue Henri Desbruères, Évry 91030 Cedex, France mohamed.elati@issb.genopole.fr.
François KépèsiSSB, CNRS, Genopole, UEVE, Université Paris-Saclay, 5 rue Henri Desbruères, Évry 91030 Cedex, France francois.kepes@issb.genopole.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GREAT (Genome REgulatory Architecture Tools) is a novel web portal for tools designed to generate user-friendly and biologically useful analysis of genome architecture and regulation. The online tools of GREAT are freely accessible and compatible with essentially any operating system which runs a modern browser. GREAT is based on the analysis of genome layout -defined as the respective positioning of co-functional genes- and its relation with chromosome architecture and gene expression. GREAT tools allow users to systematically detect regular patterns along co-functional genomic features in an automatic way consisting of three individual steps and respective interactive visualizations. In addition to the complete analysis of regularities, GREAT tools enable the use of periodicity and position information for improving the prediction of transcription factor binding sites using a multi-view machine learning approach. The outcome of this integrative approach features a multivariate analysis of the interplay between the location of a gene and its regulatory sequence. GREAT results are plotted in web interactive graphs and are available for download either as individual plots, self-contained interactive pages or as machine readable tables for downstream analysis. The GREAT portal can be reached at the following URL https://absynth.issb.genopole.fr/GREAT and each individual GREAT tool is available for downloading.

Indexed as

Genome, BacterialUser-Computer InterfaceBacillus subtilisBinding SitesChromosome MappingComputer GraphicsEscherichia coliInternetMachine LearningMultivariate AnalysisProtein BindingTranscription FactorsTranscription Factors

Identifiers

PMID27151196
PMCPMC4987929

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.