Evidence map›Paper›PMID 38413777›Full record

ArticleNature computational science2024

Indexing and real-time user-friendly queries in terabyte-sized complex genomic datasets with kmindex and ORA.

Téo Lemane, Nolan Lezzoche, Julien Lecubin, Eric Pelletier, Magali Lescot, Rayan Chikhi, Pierre Peterlongo

Abstract read
PubMed Publisher
In one paragraph

Article in Nature computational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Logan: Planetary-Scale Genome Assembly Surveys Life's Diversity.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  9. Review
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

7 authors.

Téo LemaneUniv. Rennes, Inria, CNRS, IRISA - UMR 6074, Rennes, France. teo.lemane@genoscope.cns.fr.ORCID 0000-0002-7210-3178
Nolan LezzocheAix-Marseille Université, Université de Toulon, IRD, CNRS, Mediterranean Institute of Oceanography (MIO), UM 110, Marseille, France.
Julien LecubinSIP, OSU PYTHEAS, Marseille, France.
Eric PelletierGénomique Métabolique, Genoscope, Institut de Biologie François Jacob, CEA, CNRS, Univ. Evry, Université Paris-Saclay, Evry, France.ORCID 0000-0003-4228-1712
Magali LescotAix-Marseille Université, Université de Toulon, IRD, CNRS, Mediterranean Institute of Oceanography (MIO), UM 110, Marseille, France.
Rayan ChikhiInstitut Pasteur, Université Paris Cité, G5 Sequence Bioinformatics, Paris, France.
Pierre PeterlongoUniv. Rennes, Inria, CNRS, IRISA - UMR 6074, Rennes, France. pierre.peterlongo@inria.fr.ORCID 0000-0003-0776-6407

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-19-CE45-0008Agence Nationale de la Recherche (French National Research Agency) ANR-19-P3IA-0001Agence Nationale de la Recherche (French National Research Agency) ANR-22-CE45-0007Agence Nationale de la Recherche (French National Research Agency) PIA/ANR16-CONV-0005EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 872539EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 956229
6 · The paper itself

Abstract

Public sequencing databases contain vast amounts of biological information, yet they are largely underutilized as it is challenging to efficiently search them for any sequence(s) of interest. We present kmindex, an approach that can index thousands of metagenomes and perform sequence searches in a fraction of a second. The index construction is an order of magnitude faster than previous methods, while search times are two orders of magnitude faster. With negligible false positive rates below 0.01%, kmindex outperforms the precision of existing approaches by four orders of magnitude. Here we demonstrate the scalability of kmindex by successfully indexing 1,393 marine seawater metagenome samples from the Tara Oceans project. Additionally, we introduce the publicly accessible web server Ocean Read Atlas, which enables real-time queries on the Tara Oceans dataset.

Indexed as

GenomicsSeawaterDatabases, Nucleic AcidMetagenomeOceans and Seas

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.