Fast and robust metagenomic sequence comparison through sparse chaining with skani
Jim Shaw, Yun William Yu
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.
Topics & Concepts
MetagenomicsChainingGenomeComputational biologyComputer scienceSequence (biology)k-merData miningBiologyGeneticsGenePsychologyPsychotherapistGenomics and Phylogenetic StudiesMachine Learning in BioinformaticsBacteriophages and microbial interactions