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.

Documentation

Links