Compleasm
Compleasm evaluates genome assembly, gene set, and transcriptome completeness by quantifying near-universal single-copy orthologs to produce evolutionarily informed completeness assessments.
Key Features:
- Assessment targets: Evaluates genome assemblies, gene sets, and transcriptomes for gene completeness.
- Ortholog-based quantification: Provides quantitative assessments based on evolutionarily informed expectations derived from near-universal single-copy orthologs.
- Method integration: Leverages the miniprot protein-to-genome aligner and conserved orthologous gene sets from BUSCO for alignment-driven detection.
- Speed: Performs assessments up to 14 times faster than BUSCO on human assemblies.
- Accuracy: Reports completeness rates of 99.6% versus BUSCO's 95.7%, aligning with annotation completeness observed for T2T-CHM13.
- Scalability: Suited for large genome assemblies and analysis of substantial numbers of datasets due to improved computational efficiency.
Scientific Applications:
- Quality assessment of genome assemblies: Quantifies gene completeness to evaluate assembly quality and inform confidence in downstream gene predictions and annotations.
- Support for downstream analyses: Identifies incomplete assemblies to prevent errors in functional annotation, comparative genomics, and evolutionary studies.
Methodology:
Leverages the miniprot protein-to-genome aligner and utilizes conserved orthologous genes from BUSCO to quantify presence of near-universal single-copy orthologs for completeness evaluation.
Topics
Collections
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 3/18/2024
- Last Updated:
- 6/30/2025
Operations
Data Inputs & Outputs
Sequence assembly validation
Inputs
Outputs
Publications
Huang N, Li H. compleasm: a faster and more accurate reimplementation of BUSCO. Bioinformatics. 2023;39(10). doi:10.1093/bioinformatics/btad595. PMID:37758247. PMCID:PMC10558035.
Funding: - National Human Genome Research Institute: R01HG010040
- Chan-Zuckerberg Initiative: 237653
Documentation
Links
Issue tracker
https://github.com/huangnengCSU/compleasm/issuesOther
https://busco.ezlab.org/list_of_lineages.html(List of accepted lineages (taxonomic groups with curated BUSCO sets))
Related Tools
busco
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