GEnView

GEnView performs comparative analysis of gene loci across bacterial genomes and plasmids to investigate conservation, acquired mobility, and horizontal gene transfer.


Key Features:

  • Automated comparative analysis: Performs automated locus-level comparisons across bacterial genomes and plasmids with taxon-selective access to over 800,000 genomes and plasmids in the NCBI Assembly and RefSeq databases.
  • Local genome processing: Processes local (non‑NCBI) genome and plasmid assemblies to include proprietary or unpublished datasets in analyses.
  • Visualization of genetic environments: Produces visual representations of genetic neighborhoods surrounding target loci to contextualize gene content and synteny.
  • Extensive metadata generation: Generates comprehensive metadata files accompanying analyses for downstream research and validation.

Scientific Applications:

  • Bacterial comparative genomics: Enables comparison of gene loci across strains and species to assess conservation and structural variation.
  • Mobilome and horizontal gene transfer studies: Facilitates investigation of acquired mobility and horizontal gene transfer events associated with specific loci.
  • Evolutionary analyses of loci: Supports studies of evolutionary processes affecting gene neighborhoods across taxa.

Methodology:

Implemented in Python 3, GEnView automates retrieval of genomic data from NCBI Assembly and RefSeq and from local sources, performs locus-level comparisons, generates metadata, and provides a visualization component for genetic contexts.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
5/27/2022
Last Updated:
5/27/2022

Operations

Publications

Ebmeyer S, Coertze RD, Berglund F, Kristiansson E, Larsson DGJ. GEnView: a gene-centric, phylogeny-based comparative genomics pipeline for bacterial genomes and plasmids. Bioinformatics. 2021;38(6):1727-1728. doi:10.1093/bioinformatics/btab855. PMID:34951622. PMCID:PMC8896611.

PMID: 34951622
Funding: - Swedish Research Council VR: 2018-02835, 2018-05771, 2019-03482 - Swedish Research Council for Environment, Agriculture and Spatial Planning: 2018-00787

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