Evidence map›Paper›PMID 37387143›Full record

ArticleBioinformatics (Oxford, England)2023

Themisto: a scalable colored k-mer index for sensitive pseudoalignment against hundreds of thousands of bacterial genomes.

Jarno N Alanko, Jaakko Vuohtoniemi, Tommi Mäklin, Simon J Puglisi

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Where the Patterns Are: Repetition-Aware Compression for Colored de Bruijn GraphsJournal of computational biology : a journal of computational molecular cell biology · 2024
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jarno N AlankoDepartment of Computer Science, University of Helsinki, Helsinki 00014, Finland.
Jaakko VuohtoniemiDepartment of Computer Science, University of Helsinki, Helsinki 00014, Finland.
Tommi MäklinDepartment of Mathematics and Statistics, University of Helsinki, Helsinki 00014, Finland.
Simon J PuglisiDepartment of Computer Science, University of Helsinki, Helsinki 00014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationHuge 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.

resultsHere, 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.

Indexed as

Genome, BacterialNanoporesGenomicsMetagenomics

Identifiers

PMID37387143
PMCPMC10311346

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.