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.
DOI: 10.1093/nar/gkac367
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
User manual
https://gecoviz.cgmlab.org/help/