FunGeCo
FunGeCo integrates gene context and homology information to improve functional inference of microbial genomes and metagenomes by distinguishing cognate homologs and refining pathway-specific assignments.
Key Features:
- Gene context-based functional inference: Integrates gene context information with homology to distinguish cognate homologs and refine pathway-specific functional predictions.
- Literature mining and manual curation: Combines literature mining with manual curation to generate gene context-based modules for annotation.
- Comparative genomic analysis: Performs comparative analyses of genomes against those available in NCBI databases.
- Synteny and genomic visualizations: Provides synteny views using parallel coordinates and circular genomic representations and supports comparison of up to five genomes.
- Tabular outputs for detailed analysis: Produces tabular outputs detailing module presence and attributes across genomes.
Scientific Applications:
- Microbial ecology and environmental microbiology: Infers functional potential of resident microbes within environmental samples to support ecological studies.
- Genomic research and annotation: Supports annotation of newly sequenced genomes with gene context-based functional assignments.
- Comparative genomics: Enables analysis of evolutionary relationships and functional conservation among microbial species through comparative analyses and synteny visualization.
Methodology:
Integration of homology-based information with gene context data; literature mining and manual curation to create gene context modules; comparative genomic analyses against genomes in NCBI databases; synteny analysis using parallel coordinates and circular genomic representations; and generation of tabular module outputs.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/14/2020
- Last Updated:
- 1/4/2021
Operations
Publications
Anand S, Kuntal BK, Mohapatra A, Bhatt V, Mande SS. FunGeCo: a web-based tool for estimation of functional potential of bacterial genomes and microbiomes using gene context information. Bioinformatics. 2019;36(8):2575-2577. doi:10.1093/bioinformatics/btz957. PMID:31882995.