Evidence map›Paper›PMID 36539202›Full record

ArticleBioinformatics (Oxford, England)2023

syntenet: an R/Bioconductor package for the inference and analysis of synteny networks.

Fabricio Almeida-Silva, Tao Zhao, Kristian K Ullrich, M Eric Schranz, Yves Van de Peer

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  3. Phylogenomic synteny reveals paleohexaploid-derived genomic blocks across Asteraceae.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. The chromosome-level genome of the submerged plant Cryptocoryne crispatula provides insights into the terrestrial-freshwater transition in Araceae.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  19. Article
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

5 authors.

Fabricio Almeida-SilvaDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0002-5314-2964
Tao ZhaoState Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.
Kristian K UllrichDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Ploen 24306, Germany.
M Eric SchranzBiosystematics Group, Wageningen University and Research, Wageningen 6708, The Netherlands.ORCID 0000-0001-6777-6565
Yves Van de PeerDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.

Funding

European Research Council 833522European Union's Horizon 2020 Research and Innovation Program 833522
6 · The paper itself

Abstract

summaryInterpreting and visualizing synteny relationships across several genomes is a challenging task. We previously proposed a network-based approach for better visualization and interpretation of large-scale microsynteny analyses. Here, we present syntenet, an R package to infer and analyze synteny networks from whole-genome protein sequence data. The package offers a simple and complete framework, including data preprocessing, synteny detection and network inference, network clustering and phylogenomic profiling, and microsynteny-based phylogeny inference. Graphical functions are also available to create publication-ready plots. Synteny networks inferred with syntenet can highlight taxon-specific gene clusters that likely contributed to the evolution of important traits, and microsynteny-based phylogenies can help resolve phylogenetic relationships under debate. AVAILABILITY AND IMPLEMENTATION: syntenet is available on Bioconductor (https://bioconductor.org/packages/syntenet), and the source code is available on a GitHub repository (https://github.com/almeidasilvaf/syntenet). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenomeSoftwarePhylogenySynteny

Identifiers

PMID36539202
PMCPMC9825758

What OpenQuestion holds

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Registered trials

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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.