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

Authors :
Almeida-Silva, Fabricio
Zhao, Tao
Ullrich, Kristian K.
Schranz, M.E.
Van de Peer, Yves
Almeida-Silva, Fabricio
Zhao, Tao
Ullrich, Kristian K.
Schranz, M.E.
Van de Peer, Yves
Source :
ISSN: 1367-4803
Publication Year :
2023

Abstract

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.

Details

Database :
OAIster
Journal :
ISSN: 1367-4803
Notes :
application/pdf, Bioinformatics 39 (2023) 1, ISSN: 1367-4803, ISSN: 1367-4803, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1376683179
Document Type :
Electronic Resource