Efficient High-Quality Metagenome Assembly from Long Accurate Reads using Minimizer-space de Bruijn Graphs.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
08 Jul 2023
Historique:
pubmed: 3 10 2023
medline: 3 10 2023
entrez: 3 10 2023
Statut: epublish

Résumé

We introduce a novel metagenomics assembler for high-accuracy long reads. Our approach, implemented as metaMDBG, combines highly efficient de Bruijn graph assembly in minimizer space, with both a multi-

Identifiants

pubmed: 37786716
doi: 10.1101/2023.07.07.548136
pmc: PMC10541625
pii:
doi:

Types de publication

Preprint

Langues

eng

Déclaration de conflit d'intérêts

Competing Interests Statement The authors declare no competing interests.

Auteurs

Gaëtan Benoit (G)

Organisms and Ecosystems, Earlham Institute, Norwich, NR4 7UZ, UK.

Sébastien Raguideau (S)

Organisms and Ecosystems, Earlham Institute, Norwich, NR4 7UZ, UK.

Robert James (R)

Gut Microbes and Health, Quadram Institute, Norwich, NR4 7UQ, UK.

Adam M Phillippy (AM)

Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA.

Rayan Chikhi (R)

Sequence Bioinformatics, Department of Computational Biology, Institut Pasteur, Paris, France.

Christopher Quince (C)

Organisms and Ecosystems, Earlham Institute, Norwich, NR4 7UZ, UK.
Gut Microbes and Health, Quadram Institute, Norwich, NR4 7UQ, UK.
Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.

Classifications MeSH