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.