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Updated: Jul 25, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
Themisto: a scalable colored k-mer index for sensitive pseudoalignment against hundreds of thousands of bacterial
Jarno N Alanko1, Jaakko Vuohtoniemi1, Tommi Mäklin2
1Department of Computer Science, University of Helsinki, Helsinki 00014, Finland.
Motivation:
Huge datasets containing whole-genome sequences of bacterial strains are now commonplace and represent a rich and important resource for modern genomic epidemiology and metagenomics. In order to efficiently make use of these datasets, efficient indexing data structures-that are both scalable and provide rapid query throughput-are paramount.
Results:
Here, we present Themisto, a scalable colored k-mer index designed for large collections of microbial reference genomes, that works for both short and long read data. Themisto indexes 179 thousand Salmonella enterica genomes in 9 h. The resulting index takes 142 gigabytes. In comparison, the best competing tools Metagraph and Bifrost were only able to index 11 000 genomes in the same time. In pseudoalignment, these other tools were either an order of magnitude slower than Themisto, or used an order of magnitude more memory. Themisto also offers superior pseudoalignment quality, achieving a higher recall than previous methods on Nanopore read sets.
Availability And Implementation:
Themisto is available and documented as a C++ package at https://github.com/algbio/themisto available under the GPLv2 license.
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