DNAPlotter
DNAPlotter visualizes genomic features in circular and linear layouts to support genome annotation, comparative genomics, and inspection of gene organization.
Key Features:
- Interactive visualization: Generates dynamic circular and linear genome visualizations using Java technology.
- Artemis library integration: Loads and handles sequence data via Artemis sequence libraries.
- File format support: Accepts EMBL, GenBank, and GFF sequence file formats.
- Relational database import: Supports importing sequence and annotation data from relational databases.
- User-definable tracks: Filters and displays genomic features on configurable tracks.
- Publication-quality output: Exports high-quality images suitable for academic publication.
Scientific Applications:
- Genome annotation: Visualizes annotated features to assist manual and automated annotation workflows.
- Comparative genomics: Presents genomes in circular and linear formats for comparative analyses.
- Gene organization analysis: Enables inspection of gene order, orientation, and neighboring features.
- Structural variation identification: Facilitates detection and visualization of structural variants and genomic rearrangements.
- Functional element annotation: Supports visualization of coding sequences, regulatory regions, and other functional annotations.
Methodology:
Integrates sequence data from EMBL, GenBank, GFF files and relational databases via the Artemis libraries, renders circular and linear visualizations using Java, supports configurable track filtering and real-time manipulation of displayed data, and exports publication-quality images.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Visualisation
Inputs
Outputs
Genome visualisation
Inputs
Outputs
Publications
Carver T, Thomson N, Bleasby A, Berriman M, Parkhill J. DNAPlotter: circular and linear interactive genome visualization. Bioinformatics. 2008;25(1):119-120. doi:10.1093/bioinformatics/btn578. PMID:18990721. PMCID:PMC2612626.