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

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.

Documentation

Links