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

Bioinformatics

Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.

Published: January 2023

Summary: Interpreting 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825758PMC
http://dx.doi.org/10.1093/bioinformatics/btac806DOI Listing

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