Evidence map›Paper›PMID 42525384›Full record

ArticleBioinformatics (Oxford, England)2026

SynFlow: an interactive online genome structural variant viewer.

Marilyne Summo, Gaëtan Droc, Mathieu Rouard, Gautier Sarah

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marilyne SummoUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier 34398, France.ORCID 0000-0002-9308-974X
Gaëtan DrocUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier 34398, France.
Mathieu RouardSouth Green Bioinformatics Platform, French Institute of Bioinformatics (IFB); Bioversity; CIRAD; INRAE; IRD, Montpellier 34398, France.ORCID 0000-0003-0284-1885
Gautier SarahUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier 34398, France.ORCID 0000-0001-5179-972X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationStructural variations (SVs), including inversions, translocations (TRAs), duplications, and large insertions or deletions, are key drivers of genome evolution and phenotypic diversity. With the increasing number of high-quality, chromosome-scale genome assemblies, the ability to detect and interpret SVs has become a crucial aspect of modern genomics. While SV detection has advanced, most visualization methods produce static plots that fall short when researchers, particularly in comparative genomics, need to interactively explore large datasets, zoom into specific genomic regions, or dynamically filter structural events in real time.

resultsTo address this gap, we introduce SynFlow, a lightweight, web-based interactive application specifically designed for exploring and visualizing SVs identified by SyRI. We demonstrate that SynFlow can reproduce complex static synteny plots published in literature, but transforms them into dynamic, shareable visualizations that support real-time filtering, reordering, and deep exploration of specific SVs, including TRAs. SynFlow is available as a web server and offers multiple entry points: browsing precomputed datasets (e.g. banana and grapevine genomes), uploading user-provided SyRI outputs, or running an integrated workflow to produce and visualize SVs on the fly. AVAILABILITY AND IMPLEMENTATION: https://synflow.southgreen.fr; source code https://github.com/SouthGreenPlatform/synflow; preprocessing Snakemake workflow https://gitlab.cirad.fr/agap/cluster/snakemake/synflow.

Indexed as

GenomicsGenomic Structural VariationSoftwareInternet

Identifiers

PMID42525384
PMCPMC13503031

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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.