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2006/01/01 by Jim Shaw, Yun William Yu, Thomas Gueller · 1 voice · 35 citations
Biochemistry, Genetics and Molecular Biology · Environmental Science · Social Sciences · #Archaeology #Art #Bacteriophages and microbial interactions #Biology #Chaining #Computational biology #Computer science #Data mining #French Urban and Social Studies #Gene #Genetics #Genome #Genomics and Phylogenetic Studies #Geography #Humanities #Machine Learning in Bioinformatics #Metagenomics #Political science #Portrait #Sequence (biology) #k-mer
paper · pdf · doi:10.1038/s41592-023-02018-3
published in Revue française d'oenologie 20(218), 8-12 (Nature Portfolio)
openalex publication_date 2006/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/06/24
Abstract
Sequence comparison tools for metagenome-assembled genomes (MAGs) struggle with high-volume or low-quality data. We present skani ( https://github.com/bluenote-1577/skani ), a method for determining average nucleotide identity (ANI) via sparse approximate alignments. skani outperforms FastANI in accuracy and speed (>20× faster) for fragmented, incomplete MAGs. skani can query genomes against >65,000 prokaryotic genomes in seconds and 6 GB memory. skani unlocks higher-resolution insights for extensive, noisy metagenomic datasets.
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