ClustAGE
ClustAGE analyzes nucleotide sequences of accessory genomic elements (AGEs) across multiple bacterial genomes to cluster and characterize their distribution and support studies of bacterial adaptation and pathogenicity.
Key Features:
- Clustering of Accessory Genomic Elements: ClustAGE clusters nucleotide sequences from accessory genomes of multiple bacterial strains to delineate shared and unique AGEs.
- Distribution Analysis: The software identifies distribution patterns of discrete genomic elements among bacterial populations to reveal presence/absence and population-level variation.
- Integration with Phenotypic Data: ClustAGE outputs can be combined with strain phenotype data to detect associations between specific AGEs and observed bacterial traits.
- Graphical Visualization: The package can produce graphical representations of gene content and AGE distribution to aid interpretation of accessory genome patterns.
- Demonstrated Efficacy: ClustAGE has been applied to a collection of 14 Pseudomonas aeruginosa genome sequences to identify characteristics and distributions of AGEs among genomes.
Scientific Applications:
- Accessory Genome Characterization: Defining composition and structural diversity of the non-conserved accessory genome across bacterial populations.
- Genotype–Phenotype Association: Linking presence or absence of AGEs to adaptive traits such as niche specificity and pathogenicity.
- Bacterial Evolution and Adaptation Studies: Investigating the role of genomic islands and other AGEs in bacterial adaptation and population structure.
Methodology:
ClustAGE is implemented in Perl and employs BLAST for nucleotide sequence alignment and clustering of accessory genomic elements, and it is described as having a modular design.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 7/29/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Ozer EA. ClustAGE: a tool for clustering and distribution analysis of bacterial accessory genomic elements. BMC Bioinformatics. 2018;19(1). doi:10.1186/s12859-018-2154-x. PMID:29678129. PMCID:PMC5910555.