matcher
matcher performs local sequence alignment between two biological sequences using the Waterman-Eggert algorithm as implemented in the EMBOSS suite to identify regions of similarity indicative of functional, structural, or evolutionary relationships.
Key Features:
- Local alignment (Waterman-Eggert): Performs local sequence alignments using the Waterman-Eggert algorithm to detect regions of similarity that may indicate functional, structural, or evolutionary relationships.
- EMBOSS implementation: Implemented within the EMBOSS suite, enabling integration with EMBOSS data structures and workflows.
- Extensibility: Can be customized or extended using EMBOSS C programming libraries and ACD files.
- Database configuration support: Supports database configuration under EMBOSS for use with sequence databases.
Scientific Applications:
- Comparative genomics: Identifies conserved sequences across different species through local alignment to detect homologous regions.
- Functional annotation: Aligns unknown sequences against known protein or nucleotide databases to support gene and feature annotation.
- Evolutionary biology: Detects localized sequence similarity useful for tracing phylogenetic relationships and evolutionary changes.
Methodology:
Uses the Waterman-Eggert algorithm for local sequence alignment to identify similar regions within larger sequences.
Topics
Collections
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C
- Added:
- 11/8/2015
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Pairwise sequence alignment
Inputs
Outputs
Publications
Rice P, Longden I, Bleasby A. EMBOSS: The European Molecular Biology Open Software Suite. Trends in Genetics. 2000;16(6):276-277. doi:10.1016/s0168-9525(00)02024-2.
Bleasby AJ, Ison JC, Rice PM. EMBOSS Administrator's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151399.
Ison JC, Rice PM, Bleasby AJ. EMBOSS Developer's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151405.