panRGP: a pangenome-based method to predict genomic islands and explore their diversity | Zendy

Adelme Bazin | Zendy; Guillaume Gautreau | Zendy; Claudine Médigue | Zendy; David Vallenet | Zendy; Alexandra Calteau | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

panRGP: a pangenome-based method to predict genomic islands and explore their diversity

Author(s) -

Adelme Bazin,

Guillaume Gautreau,

Claudine Médigue,

David Vallenet,

Alexandra Calteau

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa792

Subject(s) - diversity (politics) , computational biology , biology , evolutionary biology , computer science , sociology , anthropology

Horizontal gene transfer (HGT) is a major source of variability in prokaryotic genomes. Regions of genome plasticity (RGPs) are clusters of genes located in highly variable genomic regions. Most of them arise from HGT and correspond to genomic islands (GIs). The study of those regions at the species level has become increasingly difficult with the data deluge of genomes. To date, no methods are available to identify GIs using hundreds of genomes to explore their diversity.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research