FlaGs
FlaGs analyzes and visualizes conservation of gene neighborhoods to investigate operon and gene cluster evolution and infer functional associations between genes.
Key Features:
- Input (NCBI accessions): Accepts lists of NCBI protein accessions as input for extraction of gene neighborhoods.
- Homologous grouping: Clusters neighborhood-encoded proteins into homologous groups using sensitive sequence searching.
- BLASTP against reduced RefSeq: Performs BLASTP searches against a reduced RefSeq database to identify homologs and expand accession sets.
- Graphical visualization: Produces graphical representations of gene neighborhood conservation across genomes.
- Phylogenetic annotation: Generates phylogenetic trees annotated with flanking gene conservation.
Scientific Applications:
- Operon and gene cluster evolution: Comparative analysis of gene neighborhood conservation across evolutionary levels to study operon and cluster evolution.
- Functional association inference: Prediction of functional linkages between genes based on conserved flanking gene arrangements.
- Discovery of novel genetic systems: Identification of novel systems such as toxin-antitoxin modules in prokaryotes and bacteriophages.
Methodology:
Accepts NCBI protein accession lists; optionally performs BLASTP searches against a reduced RefSeq database; applies sensitive sequence searching to cluster neighborhood-encoded proteins into homologous groups; generates graphical gene neighborhood maps and can produce phylogenetic trees annotated with flanking gene conservation.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, web application
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Saha CK, Sanches Pires R, Brolin H, Delannoy M, Atkinson GC. FlaGs and webFlaGs: discovering novel biology through the analysis of gene neighbourhood conservation. Bioinformatics. 2020;37(9):1312-1314. doi:10.1093/bioinformatics/btaa788. PMID:32956448. PMCID:PMC8189683.