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

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

    Other
    https://busco.ezlab.org/list_of_lineages.html
    (List of accepted lineages (taxonomic groups with curated BUSCO sets))

    Related Tools

    busco
    Relation: isNewVersionOf