Evidence map›Paper›PMID 34648558›Full record

ArticlePloS one2021

Large-scale k-mer-based analysis of the informational properties of genomes, comparative genomics and taxonomy.

Yuval Bussi, Ruti Kapon, Ziv Reich

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

31 citing papers in PubMed.

  1. Article
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  4. Elucidating Transitions ofJournal of computational biology : a journal of computational molecular cell biology · 2026
    Article
  5. Article
  6. Article
  7. Article
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  10. Prokrustean Graph: A substring index for rapid k-mer size analysis.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. EvANI benchmarking workflow for evolutionary distance estimation.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuval BussiDepartment of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0003-0365-431X
Ruti KaponDepartment of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-0618-6470
Ziv ReichDepartment of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information theoretic approaches are ubiquitous and effective in a wide variety of bioinformatics applications. In comparative genomics, alignment-free methods, based on short DNA words, or k-mers, are particularly powerful. We evaluated the utility of varying k-mer lengths for genome comparisons by analyzing their sequence space coverage of 5805 genomes in the KEGG GENOME database. In subsequent analyses on four k-mer lengths spanning the relevant range (11, 21, 31, 41), hierarchical clustering of 1634 genus-level representative genomes using pairwise 21- and 31-mer Jaccard similarities best recapitulated a phylogenetic/taxonomic tree of life with clear boundaries for superkingdom domains and high subtree similarity for named taxons at lower levels (family through phylum). By analyzing ~14.2M prokaryotic genome comparisons by their lowest-common-ancestor taxon levels, we detected many potential misclassification errors in a curated database, further demonstrating the need for wide-scale adoption of quantitative taxonomic classifications based on whole-genome similarity.

Indexed as

ArchaeaBacteriaComputational BiologyData CurationGenome, ArchaealGenome, BacterialGenomicsPhylogenySequence Analysis, DNA

Identifiers

PMID34648558
PMCPMC8516232

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Registered trials

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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.