| Genome Biology | |
| GUNC: detection of chimerism and contamination in prokaryotic genomes | |
| Daniel R. Mende1  Damian Szklarczyk2  Luis Pedro Coelho3  Thomas S. B. Schmidt4  Askarbek Orakov4  Supriya Khedkar4  Anthony Fullam4  Peer Bork5  | |
| [1] Department of Medical Microbiology, Amsterdam University Medical Center, Amsterdam, The Netherlands;Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland;Swiss Institute of Bioinformatics, Lausanne, Switzerland;Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China;Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China;Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117, Heidelberg, Germany;Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117, Heidelberg, Germany;Max Delbrück Centre for Molecular Medicine, Berlin, Germany;Yonsei Frontier Lab (YFL), Yonsei University, 03722, Seoul, South Korea;Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany; | |
| 关键词: Genome quality; Genome contamination; Metagenomics; Metagenome-assembled genomes; Bioinformatics; | |
| DOI : 10.1186/s13059-021-02393-0 | |
| 来源: Springer | |
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【 摘 要 】
Genomes are critical units in microbiology, yet ascertaining quality in prokaryotic genome assemblies remains a formidable challenge. We present GUNC (the Genome UNClutterer), a tool that accurately detects and quantifies genome chimerism based on the lineage homogeneity of individual contigs using a genome’s full complement of genes. GUNC complements existing approaches by targeting previously underdetected types of contamination: we conservatively estimate that 5.7% of genomes in GenBank, 5.2% in RefSeq, and 15–30% of pre-filtered “high-quality” metagenome-assembled genomes in recent studies are undetected chimeras. GUNC provides a fast and robust tool to substantially improve prokaryotic genome quality.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202107226581436ZK.pdf | 1507KB |
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