EukCC
EukCC estimates completeness and contamination of eukaryotic genomes assembled from metagenomic datasets using dynamically selected single-copy marker gene sets.
Key Features:
- Automated dynamic selection of single-copy marker gene sets: Automatically selects single-copy marker gene sets tailored to each dataset to inform quality metrics.
- Completeness estimation: Provides quantitative estimates of genome completeness for metagenome-assembled eukaryotic genomes.
- Enhanced contamination estimation: Produces contamination estimates and is noted for superior performance in estimating contamination levels compared to existing genome quality estimators, enabling distinction between genuine genomic sequences and contaminants.
Scientific Applications:
- Genome quality assessment in metagenomic assemblies: Assess completeness and contamination of eukaryotic genomes reconstructed from diverse environmental metagenomic datasets.
- Discovery of novel eukaryotic genomes: Facilitate identification of novel eukaryotic genomes, including a significant discovery in human skin microbiomes.
Methodology:
Leverages single-copy marker genes with automated dynamic selection of marker gene sets to estimate completeness and contamination of metagenome-assembled eukaryotic genomes.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 7/24/2025
- Last Updated:
- 7/24/2025
Operations
Publications
Saary P, Mitchell AL, Finn RD. Estimating the quality of eukaryotic genomes recovered from metagenomic analysis with EukCC. Genome Biology. 2020;21(1). doi:10.1186/s13059-020-02155-4. PMID:32912302. PMCID:PMC7488429.
Funding: - Biotechnology and Biological Sciences Research Council: BB/M011755/1, BB/R015228/1
- EMBL: Core Funds