Evidence map›Paper›PMID 20864446›Full record

ArticleNucleic acids research2011

GreenPhylDB v2.0: comparative and functional genomics in plants.

Mathieu Rouard, Valentin Guignon, Christelle Aluome, Marie-Angélique Laporte, Gaëtan Droc, Christian Walde, Christian M Zmasek, Christophe Périn, Matthieu G Conte

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

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  14. MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data.Database : the journal of biological databases and curation · 2017
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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

9 authors.

Mathieu RouardBioversity International - CfL programme Parc Scientifique Agropolis II, 34397 Montpellier, France. m.rouard@cgiar.org
Valentin Guignon
Christelle Aluome
Marie-Angélique Laporte
Gaëtan Droc
Christian Walde
Christian M Zmasek
Christophe Périn
Matthieu G Conte

Funding

Development of a comprehensive system for distant homology analysisR01GM087218 · NIGMS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI GODZIK, ADAM · 2009 to 2010
$955k
NIGMS NIH HHS R01 GM087218-01
6 · The paper itself

Abstract

GreenPhylDB is a database designed for comparative and functional genomics based on complete genomes. Version 2 now contains sixteen full genomes of members of the plantae kingdom, ranging from algae to angiosperms, automatically clustered into gene families. Gene families are manually annotated and then analyzed phylogenetically in order to elucidate orthologous and paralogous relationships. The database offers various lists of gene families including plant, phylum and species specific gene families. For each gene cluster or gene family, easy access to gene composition, protein domains, publications, external links and orthologous gene predictions is provided. Web interfaces have been further developed to improve the navigation through information related to gene families. New analysis tools are also available, such as a gene family ontology browser that facilitates exploration. GreenPhylDB is a component of the South Green Bioinformatics Platform (http://southgreen.cirad.fr/) and is accessible at http://greenphyl.cirad.fr. It enables comparative genomics in a broad taxonomy context to enhance the understanding of evolutionary processes and thus tends to speed up gene discovery.

Indexed as

Databases, GeneticGenome, PlantGenes, PlantGenomicsMolecular Sequence AnnotationPhylogenyPlant ProteinsPlantsSoftwarePlant Proteins

Identifiers

PMID20864446
PMCPMC3013755

What OpenQuestion holds

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LicenceCC BY-NC
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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.