Kablammo
Kablammo generates interactive, vector-based visualizations of BLAST (Basic Local Alignment Search Tool) sequence alignments to aid interpretation of structural variation, shared protein domains, and genome misassembly in genomic analyses.
Key Features:
- BLAST alignment input: Accepts BLAST-generated sequence alignment data as the primary input for visualization.
- Interactive visualizations: Produces dynamic visual representations that enable interactive exploration of alignment features.
- Vector-based graphics: Maps alignments to vector graphics to produce high-quality, scalable images suitable for analysis and publication.
- Biological feature highlighting: Visualizes shared protein domains, chromosome structural modifications, and genome misassembly within alignments.
- Alignment segment annotation: Provides detailed parameters and annotations for individual alignment segments.
Scientific Applications:
- Structural variation analysis: Facilitates identification and interpretation of structural variations within genomes from alignment patterns.
- Genome misassembly detection: Aids detection and visualization of potential genome misassemblies revealed by BLAST alignments.
- Functional genomics: Supports identification of shared protein domains to inform functional annotation and comparative analyses.
- Cytogenetics and comparative genomics: Illustrates chromosome structural modifications and comparative alignment patterns across species or strains.
Methodology:
Takes BLAST-generated alignment data and converts it into a format that supports interactive exploration by mapping sequence alignment coordinates onto vector graphics and annotating each alignment segment with detailed parameters.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- JavaScript, Shell, Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Wintersinger JA, Wasmuth JD. Kablammo: an interactive, web-based BLAST results visualizer. Bioinformatics. 2014;31(8):1305-1306. doi:10.1093/bioinformatics/btu808. PMID:25481007.
PMID: 25481007