Evidence map›Paper›PMID 39402664›Full record

ReviewGenome biology2024

When less is more: sketching with minimizers in genomics.

Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Abstract readReview
In one paragraph

Review in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. GenCore: Genomic distance estimation using Locally Consistent Parsing.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. GreedyMini: generating low-density DNA minimizers.Bioinformatics (Oxford, England) · 2025
    Article
  7. Article
  8. The open-closed mod-minimizer algorithm.Algorithms for molecular biology : AMB · 2025
    Article
  9. EvANI benchmarking workflow for evolutionary distance estimation.bioRxiv : the preprint server for biology · 2025
    Article
  10. Movi Color: fast and accurate taxonomic classification with the move structure.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  11. Article
  12. A near-tight lower bound on the density of forward sampling schemes.bioRxiv : the preprint server for biology · 2024
    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

9 authors.

Malick Ndiaye *Department of Fundamental Microbiology, UNIL, Lausanne, Switzerland.
Silvia Prieto-Baños *Department of Computational Biology, UNIL, Lausanne, Switzerland.
Lucy M Fitzgerald *Department of Computational Biology, UNIL, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-0656-2998
Ali Yazdizadeh KharraziDepartment of Computational Biology, UNIL, Lausanne, Switzerland.
Sergey OreshkovDepartment of Endocrinology, Diabetology, Metabolism, CHUV, Lausanne, Switzerland.
Christophe DessimozDepartment of Computational Biology, UNIL, Lausanne, Switzerland.
Fritz J SedlazeckBaylor College of Medicine, Houston, USA.
Natasha GloverDepartment of Computational Biology, UNIL, Lausanne, Switzerland.
Sina MajidianDepartment of Computational Biology, UNIL, Lausanne, Switzerland. sina.majidian@unil.ch.ORCID http://orcid.org/0000-0001-5345-6982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.

Indexed as

GenomicsHumansMetagenomicsSoftware

Identifiers

PMID39402664
PMCPMC11472564

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.