Evidence map›Paper›PMID 16407324›Full record

ArticleNucleic acids research2006

MaGe: a microbial genome annotation system supported by synteny results.

David Vallenet, Laurent Labarre, Zoé Rouy, Valérie Barbe, Stéphanie Bocs, Stéphane Cruveiller, Aurélie Lajus, Géraldine Pascal, Claude Scarpelli, Claudine Médigue

Abstract read
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing 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

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

  1. Pooled it
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  11. Novel Fosfomycin Resistance Mechanism inAntibiotics (Basel, Switzerland) · 2024
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170 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

10 authors.

David VallenetAtelier de Génomique Comparative, CNRS-UMR8030, 2 rue Gaston Crémieux, 91057 Evry, Cedex, France. vallenet@genoscope.cns.fr
Laurent Labarre
Zoé Rouy
Valérie Barbe
Stéphanie Bocs
Stéphane Cruveiller
Aurélie Lajus
Géraldine Pascal
Claude Scarpelli
Claudine Médigue

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnifying Genomes (MaGe) is a microbial genome annotation system based on a relational database containing information on bacterial genomes, as well as a web interface to achieve genome annotation projects. Our system allows one to initiate the annotation of a genome at the early stage of the finishing phase. MaGe's main features are (i) integration of annotation data from bacterial genomes enhanced by a gene coding re-annotation process using accurate gene models, (ii) integration of results obtained with a wide range of bioinformatics methods, among which exploration of gene context by searching for conserved synteny and reconstruction of metabolic pathways, (iii) an advanced web interface allowing multiple users to refine the automatic assignment of gene product functions. MaGe is also linked to numerous well-known biological databases and systems. Our system has been thoroughly tested during the annotation of complete bacterial genomes (Acinetobacter baylyi ADP1, Pseudoalteromonas haloplanktis, Frankia alni) and is currently used in the context of several new microbial genome annotation projects. In addition, MaGe allows for annotation curation and exploration of already published genomes from various genera (e.g. Yersinia, Bacillus and Neisseria). MaGe can be accessed at http://www.genoscope.cns.fr/agc/mage.

Indexed as

Databases, GeneticGenome, BacterialSyntenyComputational BiologyComputer GraphicsDatabase Management SystemsGenomicsInternetSystems IntegrationUser-Computer Interface

Identifiers

PMID16407324
PMCPMC1326237

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.