Evidence map›Paper›PMID 35758786›Full record

ArticleBioinformatics (Oxford, England)2022

The minimizer Jaccard estimator is biased and inconsistent.

Mahdi Belbasi, Antonio Blanca, Robert S Harris, David Koslicki, Paul Medvedev

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

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

21 citing papers in PubMed.

  1. Article
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  4. The gift of novelty: repeat-robustbioRxiv : the preprint server for biology · 2026
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  8. High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  11. Review
  12. ESKEMAP: exact sketch-based read mapping.Algorithms for molecular biology : AMB · 2024
    Article
  13. Creating and Using Minimizer Sketches in Computational Genomics.Journal of computational biology : a journal of computational molecular cell biology · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Exact Sketch-Based Read Mapping.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2023
    Article
  18. Review
  19. Article
  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

5 authors.

Mahdi BelbasiDepartment of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, USA.
Antonio BlancaDepartment of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, USA.
Robert S HarrisDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.
David KoslickiDepartment of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, USA.
Paul MedvedevDepartment of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationSketching is now widely used in bioinformatics to reduce data size and increase data processing speed. Sketching approaches entice with improved scalability but also carry the danger of decreased accuracy and added bias. In this article, we investigate the minimizer sketch and its use to estimate the Jaccard similarity between two sequences.

resultsWe show that the minimizer Jaccard estimator is biased and inconsistent, which means that the expected difference (i.e. the bias) between the estimator and the true value is not zero, even in the limit as the lengths of the sequences grow. We derive an analytical formula for the bias as a function of how the shared k-mers are laid out along the sequences. We show both theoretically and empirically that there are families of sequences where the bias can be substantial (e.g. the true Jaccard can be more than double the estimate). Finally, we demonstrate that this bias affects the accuracy of the widely used mashmap read mapping tool. AVAILABILITY AND IMPLEMENTATION: Scripts to reproduce our experiments are available at https://github.com/medvedevgroup/minimizer-jaccard-estimator/tree/main/reproduce. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Identifiers

PMID35758786
PMCPMC9235516

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LicenceCC BY
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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.