SWeBLAST
SWeBLAST identifies recombinant sequences by matching successive subsequences of a query sequence to sequences in GenBank using BLAST, enabling detection of parental sequences without prior alignment or a predefined comparison set.
Key Features:
- Implementation: Implemented in Perl and using BLAST facilities to query GenBank sequences.
- Non-aligned Sequence Analysis: Operates on non-aligned query sequences by matching successive subsequences rather than requiring an initial multiple sequence alignment.
- Identification of Unrelated Parent Sequences: Detects potential parent sequences involved in recombination even when those parents are not closely related.
- Complementary Methodology: Provides an alternative approach to methods that rely on aligned homologous sequences by not requiring a predefined set of comparison sequences.
- Recombination History Verification: Supports verification of the recombination history of genes proposed for use as transgenes.
Scientific Applications:
- Genetic Research: Aids analysis of evolutionary dynamics by identifying recombinant sequences and their putative origins.
- Transgenic Studies: Assesses recombination history of candidate genes proposed for transgenesis to check for unintended recombinant elements.
- Virology and Pathogen Evolution: Traces recombinant events in viral genomes and pathogens to study genetic diversity and adaptation.
Methodology:
Implemented in Perl, SWeBLAST performs successive subsequence BLAST queries of a query sequence against sequences in GenBank using BLAST facilities, enabling identification of potential parent sequences without prior alignment or selection of comparison sequences.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Recombination detection
Inputs
Outputs
Publications
Fourment M, Gibbs AJ, Gibbs MJ. SWeBLAST: A Sliding Window Web-based BLAST tool for recombinant analysis. Journal of Virological Methods. 2008;152(1-2):98-101. doi:10.1016/j.jviromet.2008.06.009. PMID:18602951.