Evidence map›Paper›PMID 29718355›Full record

ArticleNucleic acids research2018

MetExplore: collaborative edition and exploration of metabolic networks.

Ludovic Cottret, Clément Frainay, Maxime Chazalviel, Floréal Cabanettes, Yoann Gloaguen, Etienne Camenen, Benjamin Merlet, Stéphanie Heux, Jean-Charles Portais, Nathalie Poupin and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Metabolic profiling of Escherichia coli under deuterium oxide-induced stress.Metabolomics : Official journal of the Metabolomic Society · 2026
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  16. NAR genomics and bioinformatics · 2024
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4 more citing papers are in PubMed but not listed here.

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

12 authors.

Ludovic CottretLIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.
Clément FrainayINRA, UMR1331, Toxalim, F-31000 Toulouse, France.
Maxime ChazalvielINRA, UMR1331, Toxalim, F-31000 Toulouse, France.
Floréal CabanettesLIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.
Yoann GloaguenBerlin Institute of Health Metabolomics Platform, 10178 Berlin, Germany.
Etienne CamenenINRA, UMR1331, Toxalim, F-31000 Toulouse, France.
Benjamin MerletINRA, UMR1331, Toxalim, F-31000 Toulouse, France.
Stéphanie HeuxUniversité de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France.
Jean-Charles PortaisUniversité de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France.
Nathalie PoupinINRA, UMR1331, Toxalim, F-31000 Toulouse, France.
Florence VinsonINRA, UMR1331, Toxalim, F-31000 Toulouse, France.
Fabien JourdanINRA, UMR1331, Toxalim, F-31000 Toulouse, France.

Funding

Wellcome Trust 105614/Z/14/Z
6 · The paper itself

Abstract

Metabolism of an organism is composed of hundreds to thousands of interconnected biochemical reactions responding to environmental or genetic constraints. This metabolic network provides a rich knowledge to contextualize omics data and to elaborate hypotheses on metabolic modulations. Nevertheless, performing this kind of integrative analysis is challenging for end users with not sufficiently advanced computer skills since it requires the use of various tools and web servers. MetExplore offers an all-in-one online solution composed of interactive tools for metabolic network curation, network exploration and omics data analysis. In particular, it is possible to curate and annotate metabolic networks in a collaborative environment. The network exploration is also facilitated in MetExplore by a system of interactive tables connected to a powerful network visualization module. Finally, the contextualization of metabolic elements in the network and the calculation of over-representation statistics make it possible to interpret any kind of omics data. MetExplore is a sustainable project maintained since 2010 freely available at https://metexplore.toulouse.inra.fr/metexplore2/.

Indexed as

SoftwareAgrobacteriumComputer GraphicsGenomicsHumansInformation DisseminationInternetMetabolic Networks and PathwaysMetabolomicsMolecular Sequence AnnotationProteomicsSaccharomyces cerevisiae

Identifiers

PMID29718355
PMCPMC6030842

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.