M-GCAT 2.0 beta
M-GCAT 2.0 beta performs anchor-based multiple genome comparison to rapidly identify and align highly conserved genomic regions across multiple closely related genomes for comparative and evolutionary analyses.
Key Features:
- Compressed suffix graph anchoring: Uses a compressed suffix graph to implement anchor-based multiple genome comparison and to construct multiple genome alignment frameworks.
- High-throughput comparison: Compares conserved regions across up to 20 closely related bacterial species in minutes and can handle larger datasets (e.g., ~90 genomes, including 75 cloned genomes derived from 15 published enterobacterial genomes) within about an hour.
- Optimized for closely related species: Targets detection and alignment of highly conserved regions among closely related genomes to support fine-scale evolutionary analysis.
Scientific Applications:
- Evolutionary biology: Rapid identification of conserved genomic regions to study evolutionary processes among closely related species.
- Microbial genetics and comparative genomics: Comparative analysis of bacterial genomes, including enterobacterial datasets, to investigate gene conservation and divergence.
- Large-scale genomic studies: Processing of tens to scores of genomes for large-scale comparative genomic investigations.
Methodology:
Performs anchor-based multiple genome comparison using a compressed suffix graph to build multiple genome alignment frameworks.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++, Python
- Added:
- 12/18/2017
- Last Updated:
- 1/17/2019
Operations
Data Inputs & Outputs
Genome comparison
Outputs
Genome alignment
Other operations do not define inputs or outputs.
Publications
Treangen TJ, Messeguer X. M-GCAT: interactively and efficiently constructing large-scale multiple genome comparison frameworks in closely related species. BMC Bioinformatics. 2006;7(1). doi:10.1186/1471-2105-7-433. PMID:17022809. PMCID:PMC1629028.