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ABSTRACT: 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.
SUBMITTER: Alanko JN
PROVIDER: S-EPMC10311346 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Bioinformatics (Oxford, England) 20230601 39 Suppl 1
<h4>Motivation</h4>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.<h4>Results</h4>Here, we present Themisto, a scalable colored k-mer index designed for large collections of microbial reference genomes, th ...[more]