Evidence map›Paper›PMID 35904548›Full record

ArticleBioinformatics (Oxford, England)2022

The K-mer File Format: a standardized and compact disk representation of sets of k-mers.

Yoann Dufresne, Teo Lemane, Pierre Marijon, Pierre Peterlongo, Amatur Rahman, Marek Kokot, Paul Medvedev, Sebastian Deorowicz, Rayan Chikhi

Open access · hybridAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Compression algorithm for colored de Bruijn graphs.Algorithms for molecular biology : AMB · 2024
    Article
  3. Personalized Pangenome References.bioRxiv : the preprint server for biology · 2023
    Article
  4. Compression Algorithm for Colored de Bruijn Graphs.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2023
    Article
  5. Article
  6. Machine Learning Techniques for Antimicrobial Resistance Prediction ofComputational intelligence and neuroscience · 2023
    Article
  7. 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

9 authors at 5 institutions in 4 countries.

Yoann DufresneComputational Biology Department, Institut Pasteur, Université Paris Cité, F-75015 Paris, France.ORCID 0000-0002-0930-8920
Teo LemaneUniv Rennes, Inria, CNRS, IRISA-UMR, 6074 Rennes, France.ORCID 0000-0002-7210-3178
Pierre MarijonHeinrich Heine University Düsseldorf Medical Faculty Institute for Medical Biometry and Bioinformatic, Düsseldorf 40225, Germany.
Pierre PeterlongoUniv Rennes, Inria, CNRS, IRISA-UMR, 6074 Rennes, France.ORCID 0000-0003-0776-6407
Amatur RahmanDepartment of Computer Science and Engineering, The Pennsylvania State University, State College 16802, USA.
Marek KokotDepartment of Algorithmics and Software, Silesian University of Technology, Gliwice, PL-44-100 Akademicka 16, Poland.
Paul MedvedevDepartment of Computer Science and Engineering, The Pennsylvania State University, State College 16802, USA.ORCID 0000-0003-3143-594X
Sebastian DeorowiczDepartment of Algorithmics and Software, Silesian University of Technology, Gliwice, PL-44-100 Akademicka 16, Poland.
Rayan ChikhiComputational Biology Department, Institut Pasteur, Université Paris Cité, F-75015 Paris, France.
Centre National de la Recherche Scientifique · FRInstitut Pasteur · FRPennsylvania State University · USSilesian University of Technology · PLHeinrich Heine University Düsseldorf · DE

Funding

ANR Inception ANR-16-CONV-0005European Union's Horizon 2020 Research and Innovation ProgrammeMarie Skłodowska-Curie 956229National Science Centre DEC-2019/33/B/ST6/02040National Science Foundation 1453527PRAIRIE ANR-19-P3IA-0001
6 · The paper itself

Abstract

summaryBioinformatics applications increasingly rely on ad hoc disk storage of k-mer sets, e.g. for de Bruijn graphs or alignment indexes. Here, we introduce the K-mer File Format as a general lossless framework for storing and manipulating k-mer sets, realizing space savings of 3-5× compared to other formats, and bringing interoperability across tools. AVAILABILITY AND IMPLEMENTATION: Format specification, C++/Rust API, tools: https://github.com/Kmer-File-Format/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsSoftwareCompact DisksSequence Analysis, DNA

Identifiers

PMID35904548
PMCPMC9477520
OpenAlexW4288692468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.