PT  - JOURNAL ARTICLE
AU  - Zielezinski, Andrzej
AU  - Gudyś, Adam
AU  - Barylski, Jakub
AU  - Siminski, Krzysztof
AU  - Rozwalak, Piotr
AU  - Dutilh, Bas E.
AU  - Deorowicz, Sebastian
TI  - Ultrafast and accurate sequence alignment and clustering of viral genomes
AID  - 10.1101/2024.06.27.601020
DP  - 2024 Jan 01
TA  - bioRxiv
PG  - 2024.06.27.601020
4099  - http://biorxiv.org/content/early/2024/07/02/2024.06.27.601020.short
4100  - http://biorxiv.org/content/early/2024/07/02/2024.06.27.601020.full
AB  - Viromics produces millions of viral genomes and fragments annually, overwhelming traditional sequence comparison methods. We introduce Vclust, a novel approach that determines average nucleotide identity by Lempel-Ziv parsing and clusters viral genomes with thresholds endorsed by authoritative viral genomics and taxonomy consortia. Vclust demonstrates superior accuracy and efficiency compared to existing tools, clustering millions of virus genomes in a few hours on a mid-range workstation.Competing Interest StatementThe authors have declared no competing interest.