KPop: accurate and scalable comparative analysis of microbial genomes by sequence embeddings
Abstract Here we introduce KPop, a novel versatile method based on full k-mer spectra and dataset-specific transformations, through which thousands of assembled or unassembled microbial genomes can be quickly compared. Unlike MinHash-based methods that produce distances and have lower resolution, KP...
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| Main Authors: | Xavier Didelot, Paolo Ribeca |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
|
| Series: | Genome Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13059-025-03585-8 |
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