GeCoViz

GeCoViz visualizes genomic contexts surrounding prokaryotic genes to support functional and evolutionary analysis.


Key Features:

  • Reference genomes database: Contains 12,221 reference prokaryotic genomes used for analyses and visualizations.
  • Search capabilities: Supports queries by gene names, orthologous groups (KEGGs and eggNOGs), protein domains (PFAM), or direct sequence input.
  • Scaled genomic visualizations: Renders dynamic plots with scaled depictions of gene lengths and genomic distances.
  • Synteny conservation analysis: Performs on-the-fly calculations of synteny conservation among neighboring genes and highlights genes based on custom-defined thresholds.
  • Taxonomic scope customization: Allows adjustment of taxonomic scope for comparative analyses across species.
  • Neighboring gene annotations: Provides detailed annotations for neighboring genes to enrich contextual interpretation.
  • High-resolution output export: Produces plots that can be exported as high-resolution images.

Scientific Applications:

  • Synteny conservation analysis: Infers potential functional roles of unknown prokaryotic genes by identifying conserved genomic neighborhoods.
  • Gene function and comparative genomics: Enables comparative analyses of gene neighborhoods to investigate gene function across diverse species.
  • Evolutionary biology: Supports studies of gene neighborhood evolution and broader evolutionary relationships among prokaryotes.

Methodology:

Uses a database of 12,221 reference prokaryotic genomes, supports searches by gene identifiers (gene names, KEGG, eggNOG), PFAM domains, or sequence input, renders scaled gene-length and genomic-distance visualizations, and performs on-the-fly calculations of synteny conservation with customizable thresholds.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
9/16/2022
Last Updated:
11/24/2024

Operations

Publications

Botas J, Rodríguez del Río Á, Giner-Lamia J, Huerta-Cepas J. GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective. Nucleic Acids Research. 2022;50(W1):W352-W357. doi:10.1093/nar/gkac367. PMID:35639770. PMCID:PMC9252766.

PMID: 35639770
PMCID: PMC9252766
Funding: - National Programme for Fostering Excellence in Scientific and Technical Research: PGC2018-098073-A-I00 - ‘la Caixa’ Foundation: 100010434 - Marie Skłodowska-Curie: 713673

Documentation