Gunc Specifications
Process Details
- Name:
gunc - Process UUID:
f931drlhld8zllczeixeslfbkdcz7e - Process Group:
Binning
Overview
This process assesses contamination in metagenome-assembled genomes (MAGs) by comparing them against reference genomes using the GUNC (Genome UNClutterer) tool. GUNC detects chimerism and contamination in prokaryotic genomes by identifying genes that consistently co-occur in reference genomes and flagging deviations from these patterns.
This process is implemented in Bash.
Key Functionality
- Contamination Detection: Identifies potential contamination and chimerism in assembled genomes by analyzing gene co-occurrence patterns
- Reference Comparison: Compares input genomes against a comprehensive reference database to detect anomalous gene combinations
- Quality Assessment: Provides quantitative metrics for genome quality and contamination levels
- Batch Processing: Processes multiple FASTA files simultaneously for efficient workflow integration
Input/Output Specification
Inputs
Required Inputs
-
FASTA Files
- Description: Set of genome sequences (MAGs) to be assessed for contamination
- Format: FASTA
-
GUNC Database
- Description: Reference database containing gene co-occurrence patterns from high-quality genomes
- Format: DMND (Diamond database format)
Outputs
- Contamination Report
- Description: Tab-separated values file containing contamination assessment results, including GUNC scores, contamination predictions, and quality metrics for each input genome
- Format: TSV
Parameters & Settings
These parameters can be adjusted in the Foundry UI when running this process.
- GUNC Database Path
- Description: Path to the GUNC reference database file
- Default value: (empty string)
References & Resources
- Tool Documentation: Contact the team for details on the GUNC implementation
- Related Papers: Orakov, A., Fullam, A., Coelho, L.P., Khedkar, S., Szklarczyk, D., Mende, D.R., Schmidt, T.S., & Bork, P. (2021). GUNC: detection of chimerism and contamination in prokaryotic genomes. Genome Biology, 22(1), 178. https://doi.org/10.1186/s13059-021-02393-0