ArticleBioinformatics (Oxford, England)2022
SYNPHONI: scale-free and phylogeny-aware reconstruction of synteny conservation and transformation across animal genomes.
Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- ntSynt: multi-genome synteny detection using minimizer graph mappings.BMC biology · 2025Article
- Article
- Pan-evolutionary and regulatory genome architecture delineated by an integrated macro- and microsynteny approach.Nature protocols · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
summaryCurrent approaches detect conserved genomic order either at chromosomal (macrosynteny) or at subchromosomal scales (microsynteny). The latter generally requires collinearity and hard thresholds on syntenic region size, thus excluding a major proportion of syntenies with recent expansions or minor rearrangements. 'SYNPHONI' bridges the gap between micro- and macrosynteny detection, providing detailed information on both synteny conservation and transformation throughout the evolutionary history of animal genomes. AVAILABILITY AND IMPLEMENTATION: Source code is freely available at https://github.com/nsmro/SYNPHONI, implemented in Python 3.9. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
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.