Gene Graphics

Gene Graphics visualizes genomic neighborhoods and generates publication-quality graphics for gene clusters to support comparative genomics.


Key Features:

  • Input Formats: Supports National Center for Biotechnology Information (NCBI) gene and protein identifiers, GenBank files, and data extracted from the SEED database.
  • Automatic Data Fetching: Automatically retrieves neighboring gene information based on provided identifiers or GenBank files.
  • Customization Options: Allows specification of gene and genome representation parameters including names, colors, and sizes.
  • Export Formats: Exports figures as Portable Network Graphics (PNG), Scalable Vector Graphics (SVG), Tagged Image File Format (TIFF), and Encapsulated PostScript (EPS).
  • Publication-quality Output: Produces graphics tailored for gene clusters suitable for inclusion in scientific publications.

Scientific Applications:

  • Comparative genomics: Visualization of gene neighborhoods across genomes to compare gene order and context between species.
  • Evolutionary analysis: Examination of conserved or rearranged gene clusters to infer evolutionary relationships.
  • Functional conservation inference: Assessment of co-localized genes and clusters to support hypotheses of shared function or operon structure.
  • Genomic architecture visualization: Representation of gene cluster organization to analyze locus structure and neighboring gene content.

Methodology:

Automated retrieval of neighboring gene information from NCBI/GenBank/SEED using provided gene or protein identifiers or GenBank files, followed by rendering of gene-cluster visualizations exportable as PNG, SVG, TIFF, and EPS.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
6/24/2018
Last Updated:
11/25/2024

Operations

Publications

Harrison KJ, Crécy-Lagard Vd, Zallot R. Gene Graphics: a genomic neighborhood data visualization web application. Bioinformatics. 2017;34(8):1406-1408. doi:10.1093/bioinformatics/btx793. PMID:29228171. PMCID:PMC5905594.

PMID: 29228171
PMCID: PMC5905594
Funding: - National Institutes of Health: R01 GM70641

Documentation