Evidence map›Paper›PMID 26285209›Full record

ArticlePloS one2015

MORPHEUS, a Webtool for Transcription Factor Binding Analysis Using Position Weight Matrices with Dependency.

Eugenio Gómez Minguet, Stéphane Segard, Céline Charavay, François Parcy

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. 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
5.2field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Eugenio Gómez MinguetLaboratoire de Physiologie Cellulaire Végétale, Unité Mixte de Recherche 5168, Centre National de la Recherche Scientifique, Commissariat à l'Énergie Atomique, Institut National de la Recherche Agronomique, Université Joseph Fourier Grenoble I, 38054, Grenoble, France.
Stéphane SegardLaboratoire de Biologie à Grande Echelle, CEA/INSERM U1038/UJF-Grenoble 1, IRTSV, F-38054, Grenoble, Cedex 9, France.
Céline CharavayLaboratoire de Biologie à Grande Echelle, CEA/INSERM U1038/UJF-Grenoble 1, IRTSV, F-38054, Grenoble, Cedex 9, France.
François ParcyLaboratoire de Physiologie Cellulaire Végétale, Unité Mixte de Recherche 5168, Centre National de la Recherche Scientifique, Commissariat à l'Énergie Atomique, Institut National de la Recherche Agronomique, Université Joseph Fourier Grenoble I, 38054, Grenoble, France.
Institut National de la Recherche Agronomique · MACommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional networks are central to any biological process and changes affecting transcription factors or their binding sites in the genome are a key factor driving evolution. As more organisms are being sequenced, tools are needed to easily predict transcription factor binding sites (TFBS) presence and affinity from mere inspection of genomic sequences. Although many TFBS discovery algorithms exist, tools for using the DNA binding models they generate are relatively scarce and their use is limited among the biologist community by the lack of flexible and user-friendly tools. We have developed a suite of web tools (called Morpheus) based on the proven Position Weight Matrices (PWM) formalism that can be used without any programing skills and incorporates some unique features such as the presence of dependencies between nucleotides positions or the possibility to compute the predicted occupancy of a large regulatory region using a biophysical model. To illustrate the possibilities and simplicity of Morpheus tools in functional and evolutionary analysis, we have analysed the regulatory link between LEAFY, a key plant transcription factor involved in flower development, and its direct target gene APETALA1 during the divergence of Brassicales clade.

Indexed as

AlgorithmsArabidopsisArabidopsis ProteinsBinding SitesComputational BiologyGenomicsInternetMADS Domain ProteinsPhylogenyPosition-Specific Scoring MatricesPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidTranscription FactorsAP1 protein, ArabidopsisArabidopsis ProteinsLFY protein, ArabidopsisMADS Domain ProteinsTranscription Factors

Identifiers

PMID26285209
PMCPMC4540572
OpenAlexW1831178360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.